Deep Learning Job Listings

In this page, you can find job listings and job announcements related to the deep learning field. In order to put your job announcement on this page, please fill this form.  When the position is filled please keep us informed, so we can remove the announcement.

Research Associate (Posted on August 8, 2018)

The Center for Digital Art and Experimental Media (DXARTS) at the University of Washington is seeking a full-time Post-doctoral Research Associate, with expertise in video analytics, AI and data science. This is a full-time, 12-month (one-year) appointment that may be extended upon successful performance, up to a maximum term of three years. The successful candidate will, under the supervision of Professor James Coupe, work on the research, development and implementation of a number of innovative data-driven digital art projects. Applicants should have strong proficiency in C++, multi-threaded programming, OpenGL, OpenCV and 2D and 3D geometry.

For more information please visit:

AMSTERDAM AI Engineer Deep Learning Cardiovascular with full EU visa possibilities (Posted on August 8, 2018)


• You have a Master’s or a doctorate degree in Computer Science, Medical and Biomedical imaging;

• You are an AI detection engineer with a solid software engineering knowledge also (“code for Python/Tensorflow, ITK, and understanding of DICOM protocol”)

• You want to contribute to a sustainable organisation, with a meaningful medical product that has impact on life (cardiovascular, neuro and related arenas);

• You are preferably from one of the best institutes: UvA or Radboud UMC/Donders, ETH Zurich, University College London, Pierre & Marie Curie; Cambridge Addenbrookes/Wolfson, Universitat Politecna de Catalunya, Imperial College, Istanbul Technical University, Fraunhofer MEVIS etc;

• Experience in Computer Vision projects: Detection, Segmentation, and Classification;

• Understand image processing (e.g. filtering, registration, distortion corrections) • Understand the medical imaging and DICOM standards;

• Able to develop, test, maintain and finetune software & performance;


• Fluent in English;

• You are strong on your professional responsibilities.

Benefits • Location: Netherlands. Duration: fulltime. • Full EU work visa possibility for non EU candidates. • Option: participation in substantial co-ownership scheme

• Contact Name: Casper Hoppe Email: or use the online application form on :

Post-doctoral machine learning / deep learning scientist at IBM Research Lab in Zürich (Posted on August 8, 2018)

We are now looking for a Post-doctoral machine learning / deep learning scientist to join our team and contribute to the design of such solutions. The candidate will have the opportunity to work in a unique corporate environment, acquire experience in several fields, publish in major international journals, learn how to patent his/her best new ideas, as well as deal with clients and real business cases. Moreover, the core results of this work will be part of the IBM Public Cloud offering and will thus impact society. Core activities include: Design, develop and implement proofs-of-concept and prototypes to be ported to the IBM Public Cloud and IBM Power offerings; Develop, optimize, standardize and implement data science and machine-learning solutions at scale in data pipelines and distributed systems; Engineer at scale using service-oriented architecture, containerized applications and functions as a service, especially in cloud service environments. The ideal applicant should – Have a strong background in Computer Science, Statistics, Applied Mathematics or related fields, with an outstanding university track record – Have excellent Python programming skills (3–4 yearss of experience minimum); Have 2–3 years of experience with machine learning and/or deep learning Have experience with deep-learning frameworks such as Tensorflow, Pytorch or Caffee – Be passionate about problem-solving, be self-motivated and have good communication skills.

For more information please visit:


The Department of Mathematics and Statistics of Université Laval invites applications for a tenure track position in Statistics. Although all fields of specialization in statistics and applied probability are admissible, a research program linking statistics to machine learning and / or big data is a major asset. In addition, a successful candidate with a high level of research activity in the development of statistical methods for machine learning may be recommended for a CIFAR Research Chair in Artificial Intelligence. Candidates who will soon complete their PhD, as well as candidates who hold a PhD in a neighboring field (e.g., Computer Science) with a strong expertise in Statistics, are invited to apply. Hiring will normally be at the rank of assistant professor and the appointment would start in the summer of 2019.

For more information please visit:

Acadia Institute for Data Analytics, Data Scientist  (Posted on July 22, 2018)

We are looking for a Data Scientist with the education and experience to work effectively with new start-up companies and existing businesses to maximize their potential to create world-class offerings based on data analytics methods and applied research in machine learning. The ideal candidate must be comfortable working with a wide range of stakeholders, functional teams, and applications domains (agriculture, aquaculture, environment, green energy, health care, business) as well student (senior undergraduate and graduate) research assistants. The ideal candidate must be familiar with a data mining project life cycle (such as CRISP-DM) and have experience at planning and successfully executing data analytics projects. The ideal candidate must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running experiments to test such methods. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes and create new companies who use data analytics as a core capability.

For more information please contact Daniel L. Silver:

Software analyst for Mila (Posted on July 19, 2018)

Mila and Calcul Québec are looking for an analyst who will work in collaboration with Mila and Calcul Québec teams. This analyst will be responsible for the development and implementation of new procedures allowing both teams be working in the field of machine learning using Calcul Québec and Compute Canada’s shared resources efficiently and effectively. This analyst will share his time between the Calcul Québec team, whose mandate is to support researchers in their use of advanced computing resources in general and the Mila team, recognized for its research in the field of deep learning, in order to understand the different types of needs.

For more information please visit

Machine Learning Engineer Loomly (Posted on July 13, 2018)

We’re looking for a Data Scientist to work directly with our CEO and lead all data-related efforts at Loomly. This will include designing, implementing and scaling a patent pending machine learning engine from scratch, and providing data-driven, business insights to both the marketing and the engineering team.

For more information please visit


Postdoctoral Researcher NYU (Posted on July 13, 2018)

We are looking for a postdoctoral researcher to join our efforts in developing deep learning methods for early diagnosis of breast cancer during screening mammography. We intend to work both on methods improving the accuracy as well as explaining the prediction in a human-interpretable form. The candidate will be based primarily at the NYU School of Medicine (Prof. Krzysztof J. Geras, Prof. Linda Moy and Prof. S. Gene Kim) and will work in close collaboration with the NYU Center for Data Science (Prof. Kyunghyun Cho).

For more information please visit


Postdoctoral Researcher (University of Vermont) (Posted on July 11, 2018)

A fully funded, two-year postdoc with competitive salary is available in Prof. Nick Cheney’s lab in the Computer Science Department at the University of Vermont – and in close collaboration with the Prof. Jeff Clune of the EvolvingAI Lab at the University of Wyoming and Uber AI Labs. This research will be in the area of meta-learning for general artificial intelligence – applied to a variety of problems, especially those in deep reinforcement learning. Responsibilities include helping to design bio-inspired algorithms that enable agents to learn a variety of new tasks without losing the ability to perform previous ones (i.e. avoiding “catastrophic forgetting”) and testing these method on simulated and/or physical robots. Experience in deep learning and/or reinforcement learning is desired. But applicants with strong research backgrounds in relevant fields (e.g. statistics, math, computer science), strong programming and communication skills, and a demonstrated desire to learn more about machine learning and neural networks will also be considered. The position is available immediately, with some flexibility on start date.

For more information please visit:  or contact Nick Cheney

lecturer and researcher at ISEN (France-Brest) (Posted on July 11, 2018)

“Your mission is : – as lecturer, to teach in french machine-learning, computer science, image processing. – as researcher, to push the envelope in Deep Learning (DL) and Machine Learning (ML) for Internet of things (Iot).” For more information please visit:


Machine Learning AI Scientist (Posted on July 11, 2018)

UtopiaCompression Corporation, based in Los Angeles, CA is a High-Tech Company with expertise in intelligent software solutions. Seeking a Machine Learning (ML) / Artificial Intelligence (AI) Scientist to support a diverse range of programs: SONAR image detection/classification, collaborative UAV navigation, scene understanding, situated/collaborative agent theories, taxonomy classification, medical diagnostics and training. The candidate will also aid in text mining, social network, and wireless communications research; and will be expected to participate in as well as lead efforts to procure funding through grant proposals. Requirements: • PhD/Post-Doc in computer science or electrical engineering with focus on ML & AI • Deep/diverse knowledge of AI concepts and ML regimes, including: deep learning, active learning, reinforcement learning, unsupervised learning, decision tree learning, etc. • Strong programming skills in Python, TensorFlow, and Keras, with basic experience in C/C++ • Strong fundamentals in mathematics, statistics, probability theory, algorithms • Experience with big data algorithms/systems; computer vision; developing agents with cognitive and affective/emotional capabilities • Prior experience in executing R&D projects and software design and development • Publications in conferences and journals • Prior experience in writing research grants • Experience with algorithm parallelization, GPUs, and/or embedded systems development is a plus.

For more information please visit:


Professor (Posted on July 11, 2018)

Research Associate /Senior Research Associate positions for an ERC-funded project entitled “Generalisation in Mind and Machine”. For more information please visit:  or contact Jeffrey Bowers:

Senior Data Scientist Highland Math (Posted on July 11, 2018)

As a Senior Data Scientist at Highland Math, you will take on the following challenges:

  • Dissect complex client business needs and translate them into actionable solutions

  • Explore vast, disparate data sets to find key insights and novel applications of data

  • Develop cutting edge quantitative programs backed by machine learning and statistics

  • Use distributed computing to ingest and analyze large amounts of data across many sources

  • Visualize and communicate key insights to clients (including non-technical audiences)

  • Contribute thought leadership to the data science community

For more information please visit:

Chief Data Strategist (Posted on July 11, 2018)

Goldspot Discoveries Inc. ( is a technology and analytics company that is developing and refining machine-learning technology capable of significantly improving mineral exploration targeting. The approach mitigates investment risk and increases the efficiency of exploration in data-rich environments. Past accolades include placing 2nd in the Integra Gold Rush Challenge, and a top five finalist in the Disrupt Mining Challenge. In addition, we are working with several multi-billion dollar companies well known in the mining sector. We are a cross functional team with skillsets spanning geology, structural engineering, and finance. The Machine Learning R&D Specialist will compliment the existing team by bringing their expertise and experience in data science and machine learning to our interesting data challenges. You will: • Develop solutions for real-world, large scale problems • Work with large amounts of data, including (but not limited to) raw geoscience data, raw geophysics data, satellite imagery, and financial investment data • Research and test machine learning algorithms to solve various data challenges • Draft reports, create proposals, and give presentations on research and results • Collaborate with a high performing, collaborative, and diverse team • Bring their enthusiasm for innovation, exploration, and intellectual curiosity to the table.

For more information please visit: or contact Sarah Sun:

DATA SCIENCE ASSOCIATE CONSULTANT : ZS Associates (Posted on July 11, 2018)

ZS is at the frontier of advancing data science. One of their recent innovations, an intelligent personal assistant, uses AI to help identify physicians with patients who can benefit from life-improving treatment. It has already led to patients getting better care, faster. Data Science Consultants (DSCs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSCs will research and develop new offerings/solutions, deliver client impact by collaborate to deliver client solutions and develop the ZS point of view in this space. Responsibilities: – Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner; – Execute and teach application of statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large, unstructured data sets to identify trends, figures and other relevant information; – Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; – Evaluate emerging datasets and technologies and help define our analytic platform; – Own development of select assets/accelerators that create scale; – Contribute to thought leadership through research and publication; Guide and manage project teams of Associates/Associate Consultants.

For more information please visit:

Postdoctoral Fellowship for machine learning based vocal human behaviour analysis  (Posted on July 11, 2018)

The center for Autism Research (CAR) in Philadelphia and UPenn is seeking a postdoctoral fellow with experience in machine learning for vocal-acoustic and linguistic analysis. The fellow will study infants’, children’s, and adults’ verbal behaviour in a clinical setting to characterize developmental differences associated with autism, and will be responsible for: • applying blind source separation/speaker diarization in a clinical interview setting • extracting state-of-the-art feature representations (e.g. deep learning) from data The fellow’s research will benefit from access to CAR’s large corpora of research participants’ data, that are accessible only to our team and collaborators. These data are supported by CAR’s data management teams, who recruit participants and collect, quality control and annotate data. MLL also maintains powerful infrastructure to provide ground-truth transcription and other human -based annotations, with expert guidance from the Penn Linguistic Data Consortium. Please address inquiries to Robert Schultz, Director of CAR: and include CV and a short description of research interests. Salary will be commensurate with background and experience.

REQUIREMENTS: • Experience in audio/vocal signal processing and human behaviour analysis • Strong self-motivation and problem-solving skills Desired • Publications in top machine learning or speech- or audio-processing conferences and journals • Experience in affective computing

Scientific Coordinator for MILA (Posted on June 21, 2018)

The scientific coordinator at MILA does the administration of research in general. As such, he has an overview of what is being done at MILA. It bridges the gap between the different research groups, helps to connect researchers / students with common or complementary interests, participates in the organization of workshops and activities around MILA’s main research areas.

For more info please visit

AI scientist for MILA (Posted on June 19, 2018)

The professionals of the R & D team and technology transfer of MILA will be asked to manage, participate or implement application projects with companies with the objective of transferring knowledge to the staff of the company. The mission of this team is also to help develop an ecosystem of AI in Quebec. It helps small businesses innovate with consulting mandates to integrate AI into their products and creates long-term relationships with our partners and players in the AI ​​ecosystem. Multidisciplinarity is desired. In addition to the expertise sought in deep learning, we favour the hiring of candidates with additional expertise in the areas of application of AI, such as: biomedical, medical, law, insurance, ethics, finance, cyber- security, transportation, computer vision, 3D vision, natural language processing, neuroscience, operations research.

For more info please visit

Head of Communications and Public Relations for MILA (Posted on June 15, 2018)

Reporting to the President and Chief Executive Officer, the Head of Communications and Public Affairs provides strategic communications support across the organization. He works in collaboration with the management team to manage the communications issues of the MILA activities.

The main functions include:

  •  Develop an internal and external communications strategy for MILA
  •  Contribute to the creation, development and use of internal and external communication tools to support the mission, goals and objectives of the organization
  •  Public relations / public affairs management to promote MILA
  •  Work with an advertising agency on the evolution of the logo and a new visual identity for MILA
  •  Feed a social media strategy, and provide the necessary support to researchers and students
  •  Update and dynamize the content of the Web page and all communication tools
  •  Produce internal and external content for a variety of communication means and tactics including social media, press releases, publications,
  •  Provide support to the management team on an ad hoc basis for various conferences and presentations
  •  Act as a point of contact for the media

For more info please visit


[Non-expert in ML] As a software analyst, you will contribute to software development projects, within deadlines and objectives. Thus, you will contribute to improving current software for research.

[ML expert] As a software analyst in machine learning, you will contribute to software development projects, within deadlines and objectives. You will act as an expert in machine learning within the MILA’s software team.

For more information please visit:

LINUX Systems Administrator, intermediate for MILA (Posted on June 15, 2018)

As systems administrator, you will manage the computer environment of the MILA and oversee the operation of its multiple servers in collaboration with the MILA’s IT team. The LINUX system administrator will plan, deploy, and maintain new servers and handle all other tasks related to IT infrastructure, such as networking, printing, etc. You will also provide technical support to teams and projects at MILA. For more information please visit:

Postdoc position in machine learning and neuroimage analysis (UT Southwestern, Dallas, TX USA ) (Posted on June 12, 2018)

Applications are invited for a 2 to 3-year computational postdoctoral research position in the Montillo lab ( ) at the University of Texas Southwestern in Dallas, USA. The researchers will develop novel deep learning models to predict diagnoses and outcomes from patient data including imaging (fMRI, diffusion MRI, MEG/EEG, PET/SPECT) and corresponding genomic, metabolic and clinical data. Potential projects include theoretical or applied method development. Ideal applicants will have: • Ph.D. degree in Computer Science, Electrical/Biomedical Engineering, or related field. • Experience in medical image analysis including at least 1 image type: MRI, PET, CT, MEG/EEG. • Machine learning experience at least 1 of the following: deep learning: neural nets (RNN, CNN, DNN), DCGAN, deep RL, transfer learning, Autoencoders; classical learning methods; probabilistic graphical models; optimization; image recognition & segmentation. • Strong programming skills including experience with at least 1 ML Python library: Keras, Scikit-learn, TensorFlow, PyTorch, Nilearn. • At least 2 first author papers published and writing skills in English. Please apply by email to Dr. Montillo [] and include your CV, names and addresses of three references, statement of research accomplishments and future goals, preferably as one single PDF-document. Use the subject line “PostdocApplicant: ”. See website for additional details. Link: Correspondent:

Post-doc/PhD positions in Neural Machine Translation (CIS, LMU Munich) (Posted on June 12, 2018)

Post-doc/PhD positions in Neural Machine Translation (CIS, LMU Munich) I am expanding my research group, which is located at the Center for Information and Language Processing at the University of Munich (LMU). Candidates will focus on cutting edge research into using deep learning techniques to solve machine translation (neural machine translation). The group is a well-known machine translation research group with strong interests in related natural language problems. The working language of the group is English, no knowledge of German is required. Three positions are available (one post-doc position and two PhD student positions), with a target starting date of October 2018. In addition, I am looking for early expressions of interest in a further possible post-doc position (see below). Position 1 is for a funded full-time post-doc on my European Research Council Starting Grant. Position 2 is for a funded full-time PhD student on my European Research Council Starting Grant. Position 3 is for an unfunded PhD student. This candidate is already working externally in the Munich area, and wishes to carry out research for a PhD degree. Link: Correspondent:

Postdoctoral researcher for visual human behavior analysis (Posted on June 12, 2018)

The Center for Autism Research (CAR) at the Children’s Hospital of Philadelphia (CHOP) and University of Pennsylvania (UPenn) is seeking postdoctoral fellow applicants with interest and experience in computational approaches and machine learning for use in quantitative measurement of human behavior, using computer vision technologies. The fellow will study infants’, children’s, and adults’ motor behavior, including facial motor behavior for conveying social information in the context of a social interaction/conversation. Link: Correspondent:

Senior Backend Engineer Twitch (Posted on June 12, 2018)

Twitch: We are hiring for mid-level to senior backend engineers. Responsibilities: Work on a large-scale recommendation system, consisting of deep learning training pipeline, serving infrastructure, and feature processing / storage. Develop capacity and monitoring plans for the services you write Write maintainable code with extensive test coverage, working in a professional software engineering environment (with source control, dev/stage/prod release cycle, continuous deployment) Collaborate with applied scientists and other engineers across the companyLink: Correspondent:

PhD student position (Posted on June 12, 2018)

Apply Deep Learning to biomedical data especially interested in microscopic. Correspondent:

Deep Learning Engineer – Computer Vision (Posted on June 12, 2018)

As a deep learning engineer, you will be developing computer vision algorithms for mobile devices using latest deep learning technology, i.e. making small, mobile devices smarter. Your role will be focused on developing and training deep learning algorithms for image recognition and analysis using popular deep learning frameworks. You will be closely coordinating with our software development and deployment team. You should have working experience with developing computer vision applications using deep learning. You should be hands-on in training deep convolutional networks using TensorFlow or Caffe or any popular deep learning frameworks.  Link:


Senior Applied Scientist (Posted on June 12, 2018)

Twitch: We are hiring for mid-level to senior applied scientists for our
San Francisco Office who specialize in ML algorithms and Deep Learning! Link:

Postdoctoral Fellow – Machine Learning for Cognitive modelling at  University of Padova (Italy) (Posted on June 12, 2018)

We are seeking expressions of interest for a post-doc position at the Computational Cognitive Neuroscience Lab at the University of Padova ( ). The position will be renewable on a yearly basis for up to 2-years, and it is part of the research project “Computational foundations of number sense and mathematical learning in typical and atypical development” led by Prof. Marco Zorzi. The research will focus in developing computational models of numerical cognition (see, for example, Stoianov & Zorzi, 2012, Nature Neuroscience), such as the sequential processing of numerical and temporal information using recurrent networks as well as to investigate the interplay between the perception of approximate quantities and the acquisition of symbolic systems. The successful applicant should hold a Ph.D. in Computer Science, Cognitive Science, Engineering, Physics, or related disciplines. Strong expertise in computational modeling and machine learning is required, especially concerning deep learning methods. Programming experience (MATLAB or Python) is also necessary. The candidate will be expected to collaborate closely with both the PI and the rest of the team. Good communication skills in English are necessary. The candidate will also have access to state-of-the-art computational resources (distributed computing cluster and high-performance GPUs). Correspondent:

Postdoctoral Fellow – Machine Learning for Telecommunications at University of Padova (Italy)  (Posted on June 12, 2018)

We are seeking expressions of interest for post-doc / research fellow positions at the Department of Information Engineering at the University of Padova. The positions will be renewable on a yearly basis for up to 2-years, and are part of the research project “Cognition-based networks: building the next generation of wireless communications systems using learning and distributed intelligence” led by Prof. Michele Zorzi. The research will focus in developing an innovative framework for communication networks, taking advantage of machine learning techniques to optimize the future generation of telecommunication systems (see, for example, Zorzi et al., 2015, IEEE Access). The successful applicant should hold a Ph.D. (or equivalent) in Computer Science, Engineering, Physics, or related disciplines. Strong expertise in machine learning is required, especially concerning deep learning and reinforcement learning methods. Programming experience (MATLAB or Python) is also necessary. The candidate will be expected to collaborate closely with both the PI and the rest of the team. Good communication skills in English (oral and written) are necessary. The candidate will also have access to state-of-the-art computational resources (distributed computing cluster and high-performance GPUs). Please email a CV with list of publications and a short motivation letter to Prof. Michele Zorzi or Dr. Alberto Testolin.  Correspondent:

Computer Vision & Deep Learning Research Scientist (Posted on June 12, 2018)

My client is currently looking for computer vision and machine learning research scientists to join their team of Berkeley, Stanford, Carnegie Mellon, NYU, Washington, Cambridge, Google, Ebay alumnus in the Bay Area. Here you will build a computer vision framework to help drive their core business. My client is building a deep-learning based computer vision platform to solve real problems directly on compute-constrained embedded devices. They are working with some of the largest, high-value, publically traded consumer electronics and chip companies, are profitable and backed by top VCs. They have solved a huge and very difficult maths problem that many companies have failed to do and are working at the cutting-edge of computer vision, making research-level breakthroughs. The successful candidate will come from a highly mathematical background, in addition to mastery of computer vision (optimization/localization/object detection/tracking/segmentation), or 3D computer vision (geometry/SLAM/3D reconstruction) or computational mathematics. You have advanced programming skills and count Python and or C++ as your expert language(s). You also have extensive experience with deep learning frameworks (Tensorflow/Keras/Caffe etc.). Link: Correspondent:

3D Computer Vision & Deep Learning Researcher (Posted on June 12, 2018)

We are currently looking for exceptional 3D computer vision and deep learning researchers, to join a high calibre Bay Area team. Here you will be afforded the opportunity to work on novel computer vision technologies that will be used by millions of people. The successful hire will a join a team of Computer Vision/Robotics/EE PhDs, with Oculus, Intel, Google, IBM, Carnegie Mellon, Stanford, UPenn, University of Washington and ETH Zurich backgrounds, with experience designing award winning and novel technologies. My client’s founder and CEO has founded, scaled and led a number of companies through IPOs. Needless to say, this is an exceptional opportunity to join a stealth-mode start-up, with big plans for the future. Whilst I have to respect my client’s requested confidentiality in the public domain, I am able to go into full specific detail directly with applicants. Hence light description. You have a PhD in a computer vision and or deep learning oriented program, from a top-tier university. You are innovative, entrepreneurial with extensive experience across both deep learning (CNNs/RNNs/GANs) and 3D computer vision (structure from motion/SLAM/ 3D/RGB-D/multi-view geometry etc.). Bonus points for 3D point cloud, optical flow estimation, stereo, feature detection, semantic segmentation, attention models, 4D video or reinforcement learning experience. You have an impressive publication record, with acceptance at top-tier conferences (CVPR, ICCV, ECCV, NIPS, ICML etc.). Link: Correspondent:

Deep Learning Scientist (Posted on June 12, 2018)

A leading and global cloud-based medical imaging start-up, is currently looking for 2 machine learning scientists to join their team in Calgary, to automate fields of medicine through the development of novel deep learning approaches. This is an exceptional opportunity to both work on cutting-edge technology and have a genuine impact on the lives of millions of people. My client has secured investment in the eight-figure $multi-million region, from previous investors in companies including Alibaba. Their team consists of MIT, Stanford, Cambridge, Georgia Tech educated individuals and they are partnered with some of the largest global technology corporations. In addition to this, my client maintains close links to the publishing community, where they sponsor leading conferences. The successful candidates will have a PhD/MS from top-tier universities, in a computer science/engineering oriented program. You are a deep learning expert and will have demonstrable experience working on innovative deep learning projects. You have extensive experience working with fully-CNNs, at least 3 years’ experience writing production quality code (unit testing/object oriented etc.). You can demonstrate mastery in Python and deep learning frameworks (Tensorflow, Keras etc.). Bonus points for experience in image processing, medical imaging or a field of computer vision. You have a stellar publication record, with acceptance at conferences including MICCAI, ICML, CVPR, SIIM, MIDL, NIPS etc. Correspondent:

Deep Learning Researcher (Posted on June 12, 2018)

My client was founded by some of the world’s foremost researchers in deep learning and their team consists of Carnegie Mellon, Stanford, Harvard, UPenn, Amazon, Huawei, NEC Labs, Siemens etc. alumnus. They are currently looking for experienced deep learning researchers to join them in their New York office, to work on making a global impact in a state of the art field. My client has built one of the first and highest performing identification platforms. They are empowering billions of people around the world, through developing novel and cutting-edge deep learning technology. They have been successfully running for a number of years and recently close a huge investment round. The successful candidate will have a PhD in a computer science/engineering related field, with a strong emphasis on deep learning. Masters candidates with significant industrial experience in a related field will also be considered. You have extensive experience in deep learning (CNNs, RNNs, GANs etc.) and significant experience with relevant frameworks (Tensorflow/PyTorch/Torch/Caffe). You are an expert programmer, with strong Python and or C/C++ skills. Although not a prerequisite, candidates with computer vision experience (detection/tracking/segmentation/classification etc.) will be viewed preferably. You have an outstanding aptitude for research, with an exquisite publication record, with acceptance at top-tier conferences (NIPS/ICML/CVPR/ICCV/ECCV etc.) Correspondent:

Research Consultant (Posted on June 12, 2018)

I work in an AI focused recruitment team that concentrate specifically on   Deep Learning and Computer Vision. Link:


The Montreal Research Center of Huawei Technologies has opened several internship and full-time positions targeting deep neural network compression in collaboration with MILA. The Huawei AI team will closely work with Yashua Bengio and the technology transfer team of MILA, to bring model compression into practice for futuristic products of Huawei. The Huawei AI team specifically targets “binary and trinary quantization” for low-power devices in the first round of the project. Students or professional who hold Canadian citizenship or a valid Canadian working permit have the chance full-time employment. Intentional students with restricted working permit can get on board through the “MITACS Accelerate” program only upon a written agreement of their academic supervisor. Candidates who fit into one of these two profiles will be invited for the first round of the interview: Computer Hardware Engineering, or Electronics-Electrical Engineering with extensive knowledge in C++, and familiar with Tensorflow. Computer Science or Computer Software Engineering with extensive knowledge in Tensorflow, and familiar with C++. Familiarity with Caffe framework is a plus, but not a requirement. Candidates should apply by sending their cover letter and CV to

Postdoctoral Fellow (Posted on June 8, 2018)

Two postdoctoral fellow positions specializing in machine learning and signal processing for applications in Critical Care Medicine is available in Point of Care Analytics Lab at the University of Tennessee Health Science Center–Oak Ridge National Lab’s Center for Biomedical Informatics. Point of Care Analytics (PCA) is a laboratory for innovation at the intersection of deep learning, signal processing, medical science, and systems design. PoCA develops novel and impactful applications and algorithms that can be used to predict abnormal medical conditions before they show clinical signs at the bed-side. A successful applicant must have a Ph.D. of high standing in a relevant discipline (e.g. Computer Science, Electrical Engineering, Medical Informatics, etc.) within the last five years and a strong research track record. Strong programming and communication skills are required. Prior experience in Convolutional Neural Network, Recurrent Neural Networks, or real-time signal processing would be a strong asset. Interested applicants, please send CV, publication list to: Dr. Rishikesan Kamaleswaran (

Review of applications starts immediately and will continue until the position is filled. Link: Correspondent:

Computer Vision Specialist, Deep learning (Posted on June 8, 2018)

Huya INC is China’s leading interactive broadcast platform, provides users with high-definition, smooth and rich interactive video live service. We are looking for an independent and talented computer vision specialist with a strong background in machine learning (deep learning). See details at



Our R&D Laboratory is part of a multinational Group leader in its field, with more than 110,000 employees worldwide. Our mission is to create the future. To answer new technological challenges, we are looking to recruit a talented individual for our Computer Science Department. The ideal candidate should be able to: Develop Deep Neural Networks models aiming for action prediction and anticipation. Create new algorithms, even better than the state of the art, for the identification and prediction of objects, using video input, to reach the level required for automotive applications. Tackle fundamental scientific questions about artificial intelligence by conceptualizing key mathematical and data processing challenges in order to create a new generation of AI technology. You are an engineer qualified to ideally PhD postgraduate degree level.You should have experience of working in R&D with a track record of scientific publication in the related domains. You should be comfortable working in both spoken and written English. Please send your CV to :

Associate Professor (Teaching and research ) (Posted on June 8, 2018)

Department of Statistics, Faculty of Science, Hajee Mohammad Danesh Science
and Technology University, Dinajpur-5200, Bangladesh


Computer Vision Specialist, Deep learning – Zhuhai city, China (Posted on May 3, 2018)

Huya INC is China’s leading interactive broadcast platform, provides users with high-definition, smooth and rich interactive video live service. We are looking for an independent and talented computer vision specialist with a strong background in machine learning (deep learning).

See details at

Applied Scientist Twitch (San Francisco, CA, USA) (Posted on April 26, 2018)

Twitch is building the future of interactive entertainment. Recommendations (matching viewers with live content they greatly enjoy), is core to that vision. As an applied scientist on Twitch Recommendations Team, you will help design, prototype and implement algorithms and techniques connect Twitch users with the right content. This is a broad problem, and may include extracting and using data from live video using computer vision (CV), or from chat using natural language processing (NLP). By improving Twitch’s recommendation products using machine learning, you will help Twitch’s viewers have a great experience, and help Twitch’s broadcasters find more passionate fans. At Twitch, a part of Amazon, you’ll experience the benefits of working in a dynamic, entrepreneurial environment in the heart of San Francisco, while leveraging the resources of Amazon.

Assistant Professorship in Cognitive Computing (Posted on April 26, 2018)

The professorship will be tightly interlinked with the DFG research training group on “Computational Cognition” which Osnabrück University has applied for, and specifically related to the research fields “From Signals to Symbols and Back: Neural Representations and Learning” and “Symbolic Thought: Processes on Uncertain and Incomplete Representations”, and will strengthen the profile in the domain of big data science and machine learning. The work will be inspired by deep neuronal networks and modern machine learning techniques. A transfer to applications is welcome. A strong link to cognitive science is essential. This may include cognitive architectures, multi-agent systems, human machine interactions, and neuro-inspired learning. She/he is particularly expected to collaborate with more than one of the existing work groups that are closely related to the fields of processing visual data, machine learning, knowledge representation, and (neuro-) cognitive aspects of language.

Postdoctoral Researcher (Posted on April 26, 2018)

We invite applications for a postdoctoral position in deep learning for the analysis of Large Hadron Collider (LHC) data. The successful candidate will join a multidisciplinary team of physicists and data scientists funded by the IVADO institute in Montreal. The LHC is one of the most ambitious experiment ever conducted. It collides protons together near the speed of light to reproduce the conditions of the Universe right after the Big Bang. The candidate should hold a PhD in computing science, physics or an equivalent related field, and to have expertise in machine learning. Experience in deep learning is a plus. The candidate is expected to be proficient in machine learning libraries such as Theano, Torch, TensorFlow or Keras. Applications received by June 15, 2018 will receive full consideration.

Computer Vision Research Engineer (Posted on April 13, 2018)

STR is a privately-owned, rapidly growing business focused on research and development (R&D) for the defense and intelligence communities. STR’s Video and Image Understanding team has an opening for a Computer Vision Research Engineer. The position entails: designing and implementing innovative computer vision algorithms for solving challenging scene understanding problems; collaborating with other STR engineers and leading researchers in the computer vision community to develop, adapt, extend and optimize state-of-the-art techniques for addressing new sensor exploitation applications; performing data analysis on experimental data and identify performance improvement strategies; interacting with national security customers and users to determine and assess appropriate solutions; and transitioning algorithms to real-time systems and/or prototype demonstrations. Imagery of interest: visible/infrared still and video imagery from ground and aerial sensors; imaging radar; LIDAR. Application areas: object detection, tracking, classification; image registration; 3D modeling; performance modeling; contextual reasoning. Qualified candidates will: hold a PhD or MS degree with relevant experience in computer science, electrical engineering, applied mathematics or related technical discipline; have strong scientific software development skills and independent analytical problem-solving skills; and hold US Citizenship with the ability to gain a security clearance. Applicants must be US Citizens.
Link to posting: General information on the company may be found here:

PhD studentship, Medical Deep Learning, computational Statistics, Singapore National University of Singapore (Posted on April 13, 2018)

The National University of Singapore (NUS), Department of Statistics & Applied Probability (DSAP), has an opening for a creative and resourceful PhD candidate with strong deep-learning / machine-learning, programming (Python), and computational science skills. The selected candidate will develop novel methodologies to diagnose glaucoma, predict its evolution, and help understand the disease.
This is a joint project between: the department of Statistics & Applied Probability (NUS),  the department of Biomedical Engineering (NUS), the Singapore Eye Research  Institute (SERI, ranked top 5 Ophthalmology institute worldwide), more than 15 glaucoma institutes from 10 countries across 4 continents.
Related areas are: nonlinear dimension reduction, structure discovery, transfer learning, statistical inference in the low-sample/high-noise regime, representation learning
More information available at:

Machine/Deep Learning Engineer GFK (Posted on April 11, 2018)

Our R&D Laboratory is part of a multinational Group leader in its field, with more than 110,000 employees worldwide. Our mission is to create the future. To answer new technological challenges, we are looking to recruit a talented individual for our Computer Science Department.The ideal candidate should be able to:Develop Deep Neural Networks models aiming for action prediction and anticipation.Create new algorithms, even better than the state of the art, for the identification and prediction of objects, using video input, to reach the level required for automotive applications.Tackle fundamental scientific questions about artificial intelligence by conceptualizing key mathematical and data processing challenges in order to create a new generation of AI technology.You are an engineer qualified to ideally PhD postgraduate degree level. You should have experience of working in R&D with a track record of scientific publication in the related domains. You should be comfortable working in both spoken and written English.  The position is based in Sophia Antipolis technopole, near Nice (South of France).

Please send your CV to :

Machine/Deep Learning Engineer GFK (Posted on April 6, 2018)

GfK’s Global Data Science division is hiring Machine Learning Engineers to focus on developing scalable and re-usable machine learning components, prototypes and solutions at enterprise scale. Our ML-Engineers are working in HPC and big data environments at the intercept of computational statistics, state-of-the-art software development and DevOps culture. Thus we are looking for candidates with a strong data science AND software engineering background.

For more info: (Senior); (Junior/Specialist)

Postdoctoral Fellow – Machine Learning for Medicine (Posted on April 5, 2018)

MIT’s Lab for Computational Physiology at Institute for Medical Engineering & Science (IMES) has an immediate opening for a Postdoctoral Associate in Machine Learning for Medicine. We are seeking a highly-motivated individual to join a multidisciplinary research team to develop machine learning techniques for medicine, physiological modeling, and treatment decision support. The ideal candidate will have demonstrated an outstanding capability for independent research in advanced machine learning techniques. Candidate must hold a Ph.D. degree in Computer Science, Machine Learning, Statistics, or a related field. Successful candidate will work with researchers and faculty members from MIT IMES, CSAIL, and members of the MIT-IBM Watson AI Lab.

For more info:

Postdoctoral Fellow – Accelerated electronic structure with deep learning (Posted on March 21, 2018)

Our group  seeks a postdoctoral fellow for a project linking deep neural networks with electronic structure theory. So far, we have shown that deep networks can be used to solve the Schrödinger Equation, classical spin models, and 2d-materials such as graphene and boron-nitride. The project will explore the use of our recently reported extensive deep neural networks to the electronic structure problem within the density functional theory. The objective is to show that EDNN can outperform “traditional” electronic structure methods by a factor of 1,000,000. We will generate predictive results 1000 times faster than is currently possible and work on problems 1000 times larger than can currently be modelled.

For more info:

Natural Language Generation researcher at MaketMuse (Posted on March 21, 2018)

MaketMuse, a Boston-based startup, is opening an M4Lab (MarketMuse Montreal Machine Monograph Lab) in Montreal and is hiring Natural Language Generation researchers. This is an applied research position where the researcher will work on generative deep learning models oriented to create context-aware draft content conditioned on existing semistructured data, for use in their clients’ content marketing. Job posting:

 Deep Learning  Research Scientist  at (Stanford Startup) (Posted on March 12, 2018)

Deep Learning Research Scientists Wanted–, located in Silicon Valley, is looking for MS or PhD-level candidates/experience with deep learning and convolutional networks and an expertise in deep learning framework and Python. is a leading venture-funded silicon-valley based AI Cloud healthcare startup,. We’re currently in stealth with access to one of the world’s largest cancer datasets from one of the top medical schools in the US.To learn more please email to Melanie Marshall at

Doctoral Student in Deep Learning (KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science) (Posted on March 9, 2018)

KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science has announced a PhD position on deep learning. The thesis is mostly free as for the topic and can be shaped between the prospective student and the supervisors. The research is conducted at the department of Robotics, Perception, and Learning (RPL) and will be under the supervision of Assistant Prof. Hossein Azizpour whose main research focus is on deep learning.

For more information please follow this link.

Cloud-based multi-modal advanced analytics platform for ophthalmic imaging (Posted on March 9, 2018)

We are seeking a post-doctoral fellow for a SOSCIP-funded research project developing an image analytics platform for a novel functional ophthalmic imaging method, used in its first instance to evaluate patients with Age Related Macular Degeneration (AMD) and ocular tumours. The post-doctoral fellow will develop and apply state-of-the-art multi-modal image processing and machine learning techniques towards a cloud-based platform for ophthalmic imaging. This work is based on two approved clinical studies that have generated tens of thousands of images to date. The successful candidate will be employed by Tracery Ophthalmics Inc, in collaboration with academic partner, Western University, supervised by Dr Ali Khan and Dr Shelley Boyd.

For more information please follow this link.


Seeking Senior Research Scientists to work with an extensive dataset of medical imagery and metadata to develop and apply state of the art machine learning and deep learning approaches to discover medically relevant insights. You’ll be (1) Defining machine learning and deep learning approaches and architectures for data analysis (2) Building and prototyping big data and machine learning architectures in local, cluster, and cloud environments. Preferred Qualifications: MSc. or PhD in Computer Science, Data Science, Statistics, Engineering, or other quantitative field, focusing on AI & Machine Learning. Hands-on experience conducting experiments, building & deploying machine learned solutions Tensorflow/Caffe/Scikit-Learn. Familiarity big-data platforms like Spark and Hadoop. Experience with cloud infrastructure (e.g. Docker, AWS), and experience working in the medical industry will set you apart from others. Pls email resume/CV to

Senior Research Scientist in Machine-Learning and Neuroimaging (Posted on Feb 26, 2018)

We are looking for positive, motivated and autonomous candidates who are enthusiastic about deep-learning in healthcare applications. The successful candidate will be responsible for designing, developing and maintaining important components of Pixyl’s automatic neuroimaging analysis platform.

For more information, and details how to apply, please visit:

Chair in Machine Learning  (Full or Associate professor) Faculty of Science of the University of Amsterdam (Posted on Feb 25, 2018)

We are seeking a candidate to chair IvI’s Machine Learning group (AMLAB) either at Full professor or Associate professor level (depending on qualifications). The candidate is expected to make significant contributions in world-class research and top quality academic teaching, as well as effective contributions to management and organization of the research group and the Informatics Institute.

For more information and the details to apply:

Senior Analyst, Quantitative Analysis, Kansas City Royals  (Posted on Feb 22, 2018)

The Kansas City Royals Baseball Club is seeking a highly motivated and creative analyst to develop models and methodologies for use in decision-making by the Baseball Operations department. The ideal applicant will have expert knowledge in machine learning and other modern analysis techniques for use in leveraging baseball data to provide a competitive edge and innovative solutions to the Kansas City Royals.

For more information and the details visit:–consulting–membership–non-profit–real-estate–/senior-analyst-quantitative-analysis-1929666

Research Council Officer, Biomedical Data Intelligence (Posted on Feb 16, 2018)

The National Research Council of Canada is looking for a research council officer. The National Research Council of Canada represents a powerful partnering option for anyone looking to push the boundaries of science and industry. In fact, as the Government of Canada’s premier research organization supporting industrial innovation, the advancement of knowledge and technology development, we have become catalysts for innovation.  For over a hundred years, the impact of our work with industry leaders and other government bodies has shaped Canada’s future. We partner with some of the most creative and solutions-driven minds in the world.

For more information and the details of the application procedure:

PhD position in Deep Learning and Explainable AI at Amsterdam Machine Learning Lab (Max Welling group) at University of Amsterdam (Posted on Feb 16, 2018)

We are looking for a PhD candidate in the field of deep learning, zero/few-shot learning and explainable AI. The research topic is Deep Generative Models of Vision and Language for Explainable Few-Shot Learning, i.e. exploring the use of partial natural language descriptions of visual inputs to train generative vision and language models to help disentangle the salient features and simultaneously build robust representations for downstream tasks. The PhD candidate will be employed full time at UvA working with Prof. Max Welling (promoter) and Dr. Zeynep Akata (supervisor) in AMLAB. The research will be conducted in close collaboration with Dr. Nate Kushman (co-supervisor) in Microsoft Research Cambridge. The PhD candidate could visit a Microsoft facility as part of conducting the research.

For more information and the details of the application procedure:

Postdoctoral Fellow – Deep Learning for 3D Medical Imaging – National University of Singapore (Posted on Feb 14, 2018)

We are looking for a bright, dynamic, and highly motivated individual to perform state-of-the-art research in artificial intelligence with applications to ophthalmology. For this project the successful candidate will develop and apply custom deep learning algorithms to 3D medical images of the eye to improve and simplify glaucoma diagnosis. For more information and to apply, please see this link:

Senior Computer Vision & Deep Learning Engineers / Researchers Algorythma (Posted on Feb 13, 2018)

We are looking for motivated and enthusiastic technical professionals for multiple openings for Senior Machine Learning Engineers / Researchers in a fast growing team of high-energy and world-class talent. The candidate must be capable of developing challenge products related to machine learning, computer vision, NLP, data science and IOT. Algorythma is a well-funded start-up company focused on developing game-changing products, using cutting edge technology in the markets of next generation financial systems, investment platforms, education, Fintech, multimedia streaming and others. Selected candidates are to play a key role in the creation, design and implementation of machine learning algorithms, including deep learning, in our products. If you love to innovate and deliver results, then we want you to be on our team. Additionally, the candidate must be willing to relocate to Abu Dhabi, UAE.

Please send your CV to for a full description

Postdoctoral position in Machine Learning and Critical Care Informatics at Harvard Medical School / Massachusetts General Hospital (Posted on Feb 13, 2018)

Applications are invited for a postdoctoral research position in Machine Learning and Intensive Care predictive analytics. Applicants must hold a Ph.D. degree in Electrical Engineering, Computer Science, Statistics, Computational Neuroscience, or related fields, and must demonstrate an exceptional research track record. Applicants should have a strong background in application of signal processing and machine learning to neurophysiological signals and systems. Experience with deep learning is essential. Familiarity with electroencephalography (EEG) analysis or other physiological signals is a plus. To apply, please send your CV and a brief description of your research interests and motivation for working in this area to Dr. M. Brandon Westover (

Tenure Track Assistant Professor at the National University of Singapore (Posted on Feb 8, 2018)

The Department of Industrial Systems Engineering & Management (ISEM), National University of Singapore invites applications for open rank tenure-track positions in operations research broadly defined to include optimization, dynamic programming, stochastic modelling, machine/deep learning, and game theory. Our department values pure methodology as well as translational work with significant applications, as evidenced by the faculty’s wide domain expertise. We are looking for candidates with the potential to build a record of excellence in both research and teaching.

For more details visit here.

Postdoctoral Fellow, CTV / I&I (Posted on Feb 8, 2018)

We are looking for a highly skilled candidate with expertise in machine learning/AI, computational statistics, and interactive/statistical visualization that is excited to advance the next generation of therapies and methods of drug discovery through knowledge-driven approaches for a Postdoctoral Fellowship opportunity at Pfizer. The use of genomics and molecular biomarkers data in biopharmaceutical research and development is undergoing a phase of rapid transition. Large-scale integrated public datasets are increasingly available to contextualize human diseases and biology. Instead of analyzing individual experiment with a small number of samples, there is an opportunity to learn patterns of disease regulation and regulatory constraints from hundreds of thousands of observations or more. Alternatively, in some cases genomics data is increasingly paired with clinical, other biomarker, and genetics data.

For more details visit here.

Deep Learning Researcher Hoppeexecutivesearch (Posted on Feb 8, 2018)

Hoppeexecutivesearch is looking for doctorates/PhD or also Master’s candidates, with experience in Computer Vision, Machine Learning and Deep Learning. As a Deep Learning researcher at this international organization, your tasks will include carrying out top-level corporate research.

For more details visit here.

Senior Research Associate – University of Bristol, UK (Posted on Feb 8, 2018)

This five year ERC-funded project entitled “Generalization in Mind and Machine” explores how well neural networks support human-like generalization across a range of tasks. Over the course of the grant there will be four post-doctoral fellows involved in modelling, one research assistant involved in empirical work, and two PhD students.  This is one of three modelling posts that runs for three years.In contrast with the large community of researchers focused on improving the performance of deep networks for applied reasons, the goal of this project is to explore what neural networks tell us about how the brain works. More specifically, the team will be working on questions of generalization in the domains of object identification, word identification, short-term memory, and games, amongst other areas. This post is available from 1st May 2018 (but somewhat flexible about start date) and the closing date for applications is Thursday 15th March 2018.

For more details visit here.

Machine Learning for Time Domain​ Science (Postdoctoral​ ​Position​ ​at​ ​UC​ ​Berkeley​) (Posted on Feb 8, 2018)

A postdoctoral position is available at the University of California, Berkeley for an individual who can lead an effort in inferencing on time-series data to extract novel science. The project is sponsored by a continuing grant from the Gordon and Betty Moore Foundation. The main goal of this project is to produce novel science from large amounts of data in an environment where the computational needs vastly outweigh the available facilities, and intelligent (as well as dynamic) resource allocation is required. Areas of particular interest include semi-supervised learning, unsupervised anomaly detection, explainable/interpretable AI, and forecasting.

For more details visit here.

Fully funded PhD student position in Computer Vision – Tampere University of Technology, Finland (Posted on Feb 8, 2018)

The doctoral student will participate in developing deep learning systems for computer vision problems. In particular, we are interested in following topics: 1) developing an universal representation model that is able to address multiple visual recognition tasks simultaneously, 2) developing deep learning models able to learn from several information sources to understand natural 3D visual environments similar to those encountered by humans, and 3) deep learning based image generation and editing approaches. The specific research topics will be chosen together with the students to match their personal interests. The main supervisor of the work will be Prof. Esa Rahtu ( An ideal candidate should have a Master’s degree in computer science, signal processing, electrical engineering, physics, mathematics, or equivalent. Also those who are expected to finish their Master’s degree by spring 2018 may apply. Previous research experience and publications are beneficial but not required. Good programming skills (e.g. Matlab or C++) and fluency in spoken and written English are required. The starting date is negotiable. The starting salary is 2305,57 – 2424,72 EUR per month and it will increase during the studies depending on the progress (up to 3472,86 EUR per month). In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system.

For more details visit here.

Post-doctoral Researcher in Computer Vision – Tampere University of Technology, Finland (Posted on Feb 8, 2018)

The post-doctoral researcher will collaborate with Prof. Esa Rahtu and participate in developing deep learning systems for computer vision problems. Possible research areas (not limited to) include: 1) developing a universal representation model that is able to address multiple visual recognition tasks simultaneously, 2) developing deep learning models able to learn from several information sources to understand natural 3D visual environments similar to those encountered by humans, and 3) deep learning based image generation and editing approaches. The specific research topics will be chosen together with the applicant to match their personal interests. An ideal candidate should possess (or be near completion of) a relevant PhD/DPhil in computer vision or machine learning, together with a solid mathematical background, good programming skills and a strong academic publication record. The starting date is negotiable. The starting salary is roughly 3498,53 EUR per month or more, depending on the experience of the applicant. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system.

For more details visit here.

Machine Learning Engineer, Speech Recognition, ajalastudios (Posted on Feb 6, 2018)

AJA.LA Studios is a funded early-stage startup developing speech and natural language understanding technologies for under-resourced languages. They are looking to hire an engineer, to be based in London, to participate in developing acoustic and language models, and related algorithms, for their suite of proprietary speech recognition products for a broad library of under-resourced languages. This role provides a unique opportunity to pursue research and commercialization of speech recognition for under-resourced languages. Ideally, candidates should be comfortable working with large quantities of data, have an interest in and/or demonstrate experience working with under-resourced languages, an
interest in working on the entire R&D/product-development cycle.

For more details visit here and here.

Senior Analyst, Advanced Computing for Research in Artificial Intelligence – McGill University

McGill University is seeking a senior analyst specializing in fields related to artificial intelligence (AI), including deep learning, reinforcement learning, and decision support or transfer learning, to assist researchers from different disciplines in using automatic learning techniques in their field of research. Reporting to the Scientific Director of the McGill High Performance Computing Centre (“HPC Centre”), the incumbent will work within the Calcul Québec organization and join a vibrant team of HPC analysts and scientists across several Quebec institutions.

For more details:

Machine Leaning Engineering – Medvice

Medvice is a mobile, medical e-consultation system that combines human and artificial intelligence to provide for optimal and efficient healthcare provision. Our team of medical professionals and software engineers is growing and very motivated. At the moment, we are still in pre-prototype phase and we are looking for talented, skilled and self-motivated engineers with relevant AI / Neural Network experience to help developing and researching a neural network which assists in primary medical differential-diagnosis.

Full job offer:

Research Fellow in Machine Learning – University of Warwick – Coventry, England
The University of Warwick is seeking a number of talented researchers in statistical machine learning to join its newly formed Data Science team within WMG (Warwick Manufacturing Group), one of the largest engineering departments in the UK. You will undertake both methodological and applied data science research across a wide range of possible project domains, including digital healthcare, cyber security and autonomous driving. You will develop and apply machine learning algorithms, and especially deep artificial neural network architectures, for making sense of large and unstructured data such as images, videos and text. Research developments in computer vision and natural language processing (NLP) methodologies will be supported by providing access to very large proprietary databases, including millions of radiological exams extracted from NHS archives and various types of high-dimensional sensor data (in collaboration with industry partners).
To apply, please go to: The closing date is 29 Nov 2017.

Postdoc in Machine Learning with an Emphasis on Speech and Language Processing – CU Boulder – Boulder, Colorado

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting Spring or Summer 2018 for one year and renewable for a second (and third) year. The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving). The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.

For more information and to apply, please visit:

Research Scientist in Deep Learning and Medical Imaging – Emory department of Biomedical Informatics – Atlanta, GA

Applications are invited for a National Cancer Institute funded postdoctoral Research Scientist position focusing on Machine Learning and Medical Image Processing at the Emory department of Biomedical Informatics. The position will focus on tackling the research questions around interpretability of deep learning models, particularly as one tries to deploy and adopt them in the clinical domain. For more information please visit:

Postdoctoral Research Associate – Oak Ridge National Laboratory (ORNL) – Oak Ridge, TennesseeAnnouncement date: 31 October 2017

The Imaging, Signals, and Machine Learning (ISML) group at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate with expertise in computer vision/image processing and data analytics. The ISML group conducts applied computer vision research and development addressing important issues of industrial and economic competitiveness, biomedical measurement science, and national security. The group consists of staff members with backgrounds in electrical engineering, computer science, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations. To view the job description and apply, please visit

Tenure-Track Assistant Professor – New College of Florida – Sarasota, FloridaAnnouncement date: 23 October 2017

As part of an unprecedented growth phase, New College of Florida invites applications for a tenure-track Assistant Professor position with a specialization in Human Computer Interaction, Deep Learning, or Artificial Intelligence.

For the complete position advertisement, please visit:
For more information on the college-wide expansion, please visit:

Tenure-Track Faculty Positions in the School of Computing – Clemson University – Clemson, South CarolinaAnnouncement date: 17 October 2017

The School of Computing at Clemson University invites applications from a culturally diverse pool of candidates for positions in its three academic units representing a broad cross-section of computing and its applications: the Division of Computer Science (CS), the Division of Human-Centered Computing (HCC), and the Division of Visual Computing (VC). Preference will be given to candidates at the rank of Assistant Professor, though all ranks will be considered. CS prefers applicants with interest in machine learning, software engineering, and security. HCC invites applicants whose work demonstrates strong potential impact in any area of human-centered computing. VC invites applicants with areas of interest such as computer graphics, computer vision, animation, simulation, motion, human modeling, game development, digital production, visualization, robotics, and perceptual methods.

For more details about the positions: (Computer Science), (Visual Computing), (Human-Centered Computing)

Computer Vision and Deep Learning Opportunities – ObjectVideo Labs – Tysons, VirginiaAnnouncement date: 10 October 2017

ObjectVideo Labs is looking for Senior Research Scientists, Research Scientists, and Computer Vision Engineers.  Contribute to exciting and high visibility projects that will push the state-of-the-art in image/video understanding, computer vision, machine learning, deep learning, and data mining and reasoning. Successful candidates will work with small teams to design, prototype, and develop state-of-the-art automated image and video analysis solutions. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research and development.
More details can be found here:

Computational and Machine Learning Specialist – MIT – USAnnouncement date: 10 October 2017

The Department of Brain and Cognitive Sciences is currently seeking a Computational and Machine Learning Specialist to to help tackle challenging problems in high-performance computing methods and systems, machine learning, management of large datasets, and artificial intelligence. Please visit the following website to apply:

Machine Learning Scientist – Clemex – Longueuil, Québec,  Announcement date: 10 October 2017

The machine learning scientist is central in making our vision of delivering intelligent solutions to our customers ever more real. Through your work, Clemex will be able to provide automated measurements that are more accurate, repeatable, robust and reproducible. In this role you will propose, explore and develop machine learning and computer vision research projects that can bring value to the company. You will also share your knowledge of best practices with the other machine learning scientist as well as our dev team. Our team is small, friendly, dynamic and highly oriented towards innovations. for more details:

Data Scientist positions @ISI Foundation – Turin – Italy, Announcement date: 10 October 2017

The ISI Foundation is seeking to appoint a Senior Data Scientist and a Data Scientist to undertake applied research activities within the recently-funded Innovation Laboratory on Artificial Intelligence of one of the major Italian banks, a mixed initiative between fundamental research performed at ISI Foundation and real-world business-driven challenges posed by the corporate partner. For more information:

Intern, PhD, Post-doc and Research Engineer Positions in Computer Vision/Deep Learning for Healthcare – University of Strasbourg – France, Announcement date: 10 October 2017

We are looking for candidates interested to contribute to the development of real-world AI-based solutions for the operating room. More information about the open positions is available here:

Senior Machine Learning Researcher – Fashwell – Zurich, Switzerland, Announcement date: 10 October 2017

Fashwell is a machine learning company focused on product recognition and understanding in images. Our vision is to recognize all products in every image to shape the future of retail. We are looking for talented and motivated individuals to join our team and push image recognition and metric learning beyond state of the art.

Full offer:

PhD in attention based deep learning,  – CEA – France , Announcement date: 5 October 2017

CEA Grenoble has a PhD thesis offer in the field of autonomous vehicles, drones, and robotics. All of these are aware of their environment, thanks to multiple sensors. The topic of the thesis is to analyse occupancy grids generated by sensor fusion, in order to detect, classify, and track objects in the grids using using attention-based artificial neuron networks.

Contact: Frédéric Heitzmann <>

Full offer:

Lead Machine Learning / Computer Vision Engineer – DukaConnect – Nairobi and San Francisco, Announcement date: 4 October 2017

Nairobi and San Francisco-based DukaConnect is beginning to hire in various computer vision and machine learning positions in full-time and part-time roles, including a FT lead deep learning engineer. DukaConnect is creating the first fully-mobile AI platform for traditional retail. We’re building machine learning software to empower the 30-40 million mom-and-pop shops that make up the bulk of the retail industry in emerging markets, beginning in Kenya.

See all job descriptions here:

Postdoctoral Fellow/Research Associate – Artificial Intelligence To Predict Glaucoma Progression – National University of Singapore , Announcement date: 28 September 2017

Job description: We are looking for a bright, dynamic, and highly motivated individual to perform research in artificial intelligence with applications to ophthalmology. The successful candidate will develop 3D deep learning algorithms to predict structural and functional changes of the eye. We will use a longitudinal data set of 3D optical coherence tomography (OCT) images of the eye for training our algorithms. Due to data scarcity and heterogeneity of data acquisition modalities, Bayesian regularization techniques, robust uncertainty quantification and representation learning are likely to be crucial components of the methodologies developed in this project. Salary Range: S$70 to S$90K

Postdoctoral Appointee, Data-Driven and Neural Computing – Sandia National Laboratories – Albuquerque, NM, USA, Announcement date: 27 September 2017

We are seeking a Postdoctoral Appointee to join an interdisciplinary research program focused on state-of-the-art computational and mathematical approaches and applications for brain-inspired computing.  The neural computing group includes researchers with expertise in machine learning, cognitive science, neuroscience, physics, engineering, mathematics, and data analytics. Current research topics of interest include developing neural models and novel adaptive machine learning algorithms, as well as applying machine learning to develop new neuromorphic computing approaches. Some information on Sandia’s neural-inspired computing research can be found at

To apply, visit and click “View All Jobs”.  Enter “658203” into the search box to locate this posting.  For questions please contact William Severa ( or Craig Vineyard (

Postdoctoral researcher – CREATIS – Université de Lyon, France,  Announcement date: 19 September 2017

CREATIS is a academic research lab on medical image and signal analysis. We are looking for a postdoctoral researcher to work on deep learning for the analysis of Magnetic Resonance Spectroscopy (MRS) signal. The successful candidate is expected to have a strong backgroung in machine learning, to be autonomous and show strong motivation and interest in multidisciplinary research. Skills in python, matlab and Caffe is a plus.
Both beginning and more senior postdoctoral candidates are encouraged to apply.
Full description of the offer can be found here:

Machine Learning Software Engineer – Stardog – Arlington, VA / Boston, MA or Remote,  Announcement date: 8 September 2017

Stardog is looking for a Software Engineer who loves Machine Learning. If you’re interested in natural language processing, deep learning, probabilistic graphical models, and recommender systems, this might be the job you’ve been dreaming about!
We have offices in Arlington, VA and Boston, MA. Remote working is also possible for qualified candidates.

AI/Deep Learning Scientist – Department of Radiology, The Ohio State University Wexner Medical Center, Ohio, Announcement date: 8 September 2017

The Division of Medical Imaging Informatics of the Department of Radiology, Ohio State University Wexner Medical Center (Columbus, OH) is seeking candidates (2 positions) with knowledge, skills, and experience in machine learning, artificial intelligence, computer vision, and algorithm development to immediately join a collaborative team of physicians, scientists, and programmers. These full-time, fully-funded openings carry potential future transitions into faculty positions within the Department of Radiology and have competitive salaries for the field. The ideal applicant has a PhD in Computer Science, Computer Engineering, Medical Physics, Biomedical Engineering, or a related field. Experience with deep learning libraries is required. For more information, please see

Postdoctoral Research Associate – Department of Radiology  – Duke University School of Medicine, Durham, NC, Announcement date: 7 September 2017

A Postdoctoral Associate position is available in an individual with expertise in machine learning and/or computer vision to join a research laboratory of Dr. Joseph Lo at Duke University. The full announcement can be found:

Head of Algorithms – ZEISS, Germany,  Announcement date: 7 September 2017

The Corporate Research & Technology Department at ZEISS is seeking for a Head of Algorithms (m/f) to support and lead our team. Corporate Research & Technology at ZEISS creates cutting-edge research & technology solutions for ZEISS. We identify, develop and transfer innovation and technology solutions beyond the core competences of the company’s business groups.

For full details, requirements and to apply, please visit:

Furthermore, we are currently also looking to hire several Machine Learning Engineers (m/f) for this team. For the full job description, please go to:

Assistant Professor – Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN USA,  Announcement date: 30 August 2017

The Department of Psychological and Brain Sciences at Indiana University – Bloomington seeks to fill a faculty position at the level 
of Assistant Professor (tenure-track) t as part of a major initiative to study learning across disciplinary boundaries, bridging the gap between human and machine learning. Individuals with integrated research programs on human learning that also include computational neuroscience, human neuroscience, cognitive or perceptual development and cognitive modeling, machine learning, or computer vision are especially encouraged to apply.
Link to full ad:

Director of Learning Sciences and Innovation – CILSS – University of Maryland University College, Maryland, Announcement date: 30 August 2017

The Center for Innovation in Learning and Student Success (CILSS) at UMUC seeks a Director of Learning Sciences and Innovation who has a strong interest in solving learning challenges in the higher education environment. This person will join a new team that will work with deans and faculty in academic departments on innovative pilots in a rapid prototyping atmosphere. The successful candidate will provide expertise on the design of evaluation studies, appropriate statistical methods, and new approaches to learning

Computer Vision and Deep Learning Research and Development  – HRL Laboratories, LLC, CA, Announcement date: 28 August 2017

HRL Laboratories is looking for candidates with US permanent resident or citizen status who are interested in research positions (full-time contractor, internship) in deep learning at Malibu, CA ( The candidate must have a MS or Ph.D. in EE, Computer Science, Applied Math, or related fields. Primary job function is to perform R&D in computer vision, machine and deep learning, autonomous systems, and other areas.
Contact: Dr. Deepak Khosla,

Postdoc researcher/Deep learning for predictive analytics  – IBM Research, Zurich, Announcement date: 8 August 2017

At IBM Research in Zurich, we are seeking an outstanding post-doctoral researcher for research in state-of-the-art predictive analytics applied to IT as well as industrial components and systems. Applying and expanding state of the art machine learning methods including deep learning and model fusion, our research aims at identifying degradation indicators from rich historical event logs and telemetry data, and using those to accurately predict future failures and performance degradation events in the field. This position is available from approximately September 2017 for a duration of 18 months. The successful candidate will enjoy an internationally competitive salary and work in a collaborative and creative group in an exclusive research environment.
For full details and requirements, please visit and click on “Postdoc researcher: Deep learning for predictive analytics”.

Applied Research Scientist / PayPal Machine Learning R&D – San Jose, CA, Announcement date: 2 August 2017

We are looking for a data scientist to join our deep learning research team for multiple applications in PayPal. Highly rewarding experience with significant impact to the business. Please see for more details.

PhD students – KTH Royal Institute of Technology, Stockholm, Announcement date: 1 August 2017

The KTH Royal Institute of Technology ( and Science for Life Laboratory ( in Stockholm, Sweden are hiring a PhD student to develop theoretical advances in deep learning with applications in computer vision, medical data analysis, and natural language processing. It is a 4-year time-limited position with full funding and support for travel to conferences, etc. The application deadline is August 15. For a full description and requirements, please visit

Computer Vision / Machine Learning Software Developer –  Matrox Imaging, Montreal, Announcement date: 27 July 2017

Based in Montreal, Quebec (Canada), Matrox’s Imaging division provides software and hardware solutions to original equipment manufacturers (OEMs) and to integrators of machine vision systems. The software group develops sophisticated tools for the acquisition, the processing and the analysis of images. The algorithms in the Matrox Imaging Library (MIL) are renowned worldwide for their rapidity, robustness and reliability. They can locate objects, extract and precisely measure their features, identify and track parts using codes and string readers (OCR), perform 3D reconstruction and analysis,… The Research and Innovation department is seeking creative and highly motivated software developers with expertise in computer vision, in image processing, and in machine learning. Visit our web site for more information (! Submit your resume online ( or by email at

Computational Scientist – The Jackson Laboratory, Bar Harbor, Maine, Announcement date: 26 July 2017

The Jackson Laboratory
 in Bar Harbor, ME is seeking an exceptionally talented and highly motivated Computational Scientist to lead research efforts to use machine vision for mouse phenotyping. The successful candidate will lead the development of neural network and deep learning based intelligent systems critical for health and disease diagnosis and treatment. The project involves, but is not limited to, deriving quantitative measurements and classification of mouse behavioral patterns from video data, and integration of behavioral data with genomics, electrophysiology, and genetic data.  Please see:

AI Senior Researcher – Fujitsu Laboratories, London , Announcement date: 26 July 2017

Fujitsu Laboratories of Europe has a couple of openings for an AI Researcher /  Senior Researcher positions in London, UK. Both positions require familiarity with some ML framework (e.g. sklearn, caffe, tensor-flow, etc) and good programming skills (preferably in Python). Moreover, both are permanent. For more information, please visit the following links: and

Senior Machine Learning Engineer – WinterLight Labs, Toronto, Announcement date: 25 July 2017

WinterLight Labs is a Toronto-based company which has developed cutting-edge software for objectively measuring cognitive impairment by automatically quantifying hundreds of aspects of speech and language using natural language processing algorithms and machine learning. We are seeking a Machine Learning Engineer ​to specialize in the development of automatic speech recognition (ASR) and machine learning (ML) models

Principal Data Scientist – DMCI Global, Announcement date: 11 July 2017

We’re looking for an experienced Principal Data Scientist excited about using data and psychology to enhance storytelling, understand audiences, and bring out the best in each of us. Please click here for full job description.

This is the full link

Deep Learning Computer Vision engineer for Automotive – Navinfo , Eindhoven, Netherlands, Announcement date: 10 July 2017

Navinfo is the largest Digital Map Provider in China and third largest in the world.
As part of the Navinfo family our team at Mapscape in Eindhoven/Netherlands supports business units to create maps for autonomous driving as well as classic navigation maps. Our mission is to deliver innovative technology to further increase the degree of process automation.
Our core competence is the extraction of map related features from images by intense use of Deep Learning and Computer Vision. Part of our mission is to evaluate latest technology for use in map automation and support business units with the integration of this technology into a production environment. We provide EU-Working Visa and support you with relocation. Opportunity to obtain Dutch nationality within 5-7 years.

Please see for full details”

Postdoctoral fellow – Inra, France, Announcement date: 10 July 2017

The research team at the origin of the Pl@ntNet app is looking for a highly motivated postdoctoral fellow in the field of data sciences or bio-informatics with experience in deep learning. Curiosity, open-mind, creativity, persistence, and collaborative-work ability are the key personal skills we target. A Ph.D. in computer science, bioinformatics or applied mathematics, is required, with demonstrated experience and a high quality publication record. The successful candidate should have programming skills in Python, Java or C++. A strong interest in collaborative and interdisciplinary research is required. Both beginning and more senior postdoctoral candidates are encouraged to apply.

Deep Learning Researcher – Autonomous Vehicles –, Cambridge, UK,  Announcement date: 3 July 2017

We are recruiting for a talented researcher with a strong foundation in either Deep Learning,Computer Vision, Reinforcement Learning and/or Bayesian methods. You will pioneer the application of novel neural networks for self-driving vehicles to solve problems such as object perception, localisation, trajectory planning and control.
Details and to apply: email jobs _at_

PhD student in Biotech Data Science – Ghent University Global Campus – Korea, Announcement date: 3 July 2017

The Ghent University Global Campus (GUGC) in Korea has a vacancy for a position of Ph.D. student in Biotech Data Science, starting from September 1, 2017. Besides assisting with teaching undergraduate courses, the candidate is expected to conduct applied research in the area of (large-scale) machine learning, with a particular focus on applying novel deep learning techniques to biotech data that are visual and/or textual in nature (e.g., medical image analysis, hyperspectral image analysis, genomic data analysis, …).

Deep Learning – Machine Learning Intern_Fall 2017 – Autodesk Canada – Montreal, QC, Announcement date: 26 June 2017

This is a great opportunity to develop and apply Machine Learning – Deep Learning for solving concrete needs. You will work in a stimulating environment, with the latest technologies for Augmented Reality, Virtual Reality and Real-time Rendering.
At a glance: Develop the software for receiving, understanding and testing iteratively the solutions // Investigate and validate potential approaches with your responsible // Prototype algorithms based on machine learning / deep learning

Postdoctoral Innovation Research Associate Fellowship – Saccade Diagnostics, Edinburgh, UK, Announcement date: 20 June 2017

Saccade Diagnostics is looking for a Postdoctoral Innovation Research Associate Fellowship in Machine Learning. Classifiers for Mental Health DiagnosticsThis is an opportunity for an experienced professional researcher to join our world leading team in developing next generation machine learning (ML) classifier models to help interpret eye movement abnormalities in a range of psychiatric illnesses. This will involve working with eye movement data previously obtained from patients as well as healthy controls. The successful candidate will drive the forward thinking approach on the use of the novel technology that will influence the scalability of our product line and overall direction of the company.
The link to the full job description is at

Applied Research Scientist – Spreemo, New York, NY, USA, Announcement date: 12 June 2017

At Spreemo we believe that advanced data science can prevent serious misdiagnoses and poor outcomes. Using that approach, Spreemo has helped tens of thousands of injured employees at Fortune 500 companies recover better, faster, and more affordably, fueling our rapid ascent as one of the 100 fastest-growing tech companies in North America. As an Applied Research Scientist, you will leverage the latest ML techniques and your deep software development background to help fix America’s broken healthcare system. Join the brightest minds in medicine, technology, and venture investing in our fight to democratize access to high-quality, cost-efficient care.

Research Engineer: Artificial Intelligence – Aurora , UK , Announcement date: 24 May 2017

We are recruiting a highly-qualified Research Engineer into the Core Technology Team, to help in the continued expansion of our technology in face recognition and AI systems. We are looking for intelligent, enthusiastic software engineers and computer scientists, with a PhD and background in machine learning, ideally with a strong focus on AI and Deep Learning. Excellent software engineering ability is vital to take academic theory through to a practical working system.
Please email CVs to Dr. Przemyslaw Szeptycki ( with job reference: CTR-017-05

Data scientist, Machine learning – Warwick Analytics London, UK, Announcement date: 24 May 2017

We are looking for a data scientist with experience in machine learning, Python, R or Matlab, to help us build innovative products that have already made an impact in the manufacturing industry. You will at times need to face customers to understand their challenges and help them to create a solution based on our products, in the other hand, you will also be involved in research to improve our technology.
See details at:​

Computer Vision Specialist, Deep learning – Neurometric, Montreal, Announcement date: 19 May 2017

Neurometric is offering a unique opportunity to be a key member of a startup team that will develop a SaaS offering innovative computer vision and machine learning solutions for the advertising industry (Fortune 500). We are looking for an independent and talented computer vision specialist with a strong background in machine learning (deep learning). See details at

Data Scientists – ArcelorMittal, Europe, Announcement date: 12 May 2017

Would you like to work in an R&D environment with other Data Scientists, Data Engineers and Decision Optimization Experts like you? Would you like to travel (to Belgium, France…) and discover new cultures? Would you like to see that your work has a huge impact and your applications will be implemented worldwide?
Application: Join us! ArcelorMittal Global R&D Asturias. The Digital Research Programme For additional information:

Machine learning and automation Postdoc/PhD positions – The Advanced Robotics and Controls Lab, San Diego, CA, Announcement date: 10 Mai 2017

The Advanced Robotics and Controls Lab at UCSD has several post-doctoral and PhD students positions for immediate hire in the area of machine learning and automation for surgical robotics. The researcher will work on planning, decision making, and control for surgical telerobots, and in particular, deep reinforcement learning and inverse optimal control. The work will involve interacting with clinicians and other engineers in a multidisciplinary group, and has applications in civilian and military medicine.  The postdoctoral researcher will join the group of Prof. Michael Yip  UC San Diego)<>. More details;

Application Developers in Machine/Deep Learning – EPFL, Lausane, Suisse, Announcement date: 10 Mai 2017

The Blue Brain Project is currently looking for a C++/Python Developer for Deep/Machine Learning.   To strengthen its Machine/Deep Learning team. : The BBP provides the community with regular releases of data, models and tools to accelerate neuroscience discovery and clinical translation through open science and global collaboration.

R&D Engineer Autonomous Driving – TomTom, Amsterdam, NL Announcement date: 4 Mai 2017

At TomTom we are seeking a computer vision and machine learning R&D engineer for our Autonomous Driving team. From the headquarters in Amsterdam, NL, you are researching world class algorithms and models to innovate our map technology for self-driving cars, and to automatically extract features relevant for autonomous driving. We have some of the largest labelled maps-related databases in the world. This puts us in a unique position to advance highly automated driving and impact the future of driving. + We are close to the research community and work on cutting edge algorithms and models. + Your innovative solutions will be put to practice, changing people’s everyday lives.

PhD Position in Bioinformatics / Machine Learning – Laval University, QuebecAnnouncement date: 28 April 2017

A fully funded PhD position is available at the Bioinformatics Facility at CHU de Québec – Université Laval. The candidate will work on the computational problems involved in real-time classification/clustering of mass spectrometry analytes using data from a prototype mass spectrometer. A degree in bioinformatics, statistics, computer sciences or in a related discipline is required.
Please find the full description at:

Ph.D. positions in Deep learning – Auburn University, USA, Announcement date: 27 April 2017

Multiple fully funded Ph.D. positions (supported via research assistantships) are available in the fascinating area of Deep Learning at Anh Nguyen’s lab at Auburn University, USA.
+ Preferred qualifications: A strong mathematical background and good programming skills.
+ Deadlines: May 15 to start in Fall 2017 or Aug 15 to start in Spring 2018.
Please send your inquiries or applications to

Assistant professor on Deep Reinforcement Learning – University of Amsterdam, Netherlands, Announcement date: 20 April 2017

AMLAB at the U. Amsterdam is announcing an opening for a new tenure track assistant professorship in deep reinforcement learning (or associated field). AMLAB is directed by M. Welling. For more information about the position, please follow the following link:

Machine learning engineering lead – Lenovo, North Carolina, United States,  Announcement date: 18 April 2017

Lenovo is one of the fastest growing technology companies on the planet! We are seeking an individual to work in a creatively flexible atmosphere with nascent algorithms and hardware prototypes. MUST have a deep understanding of Machine Learning algorithms and at least 3 years professional experience solving real world problems. In this role you’ll be helping the Contextual Computing Group build learning algorithms leveraging data sets consisting of millions of user actions per day to model, analyze and predict user behaviors. Come share in the discoveries that are forged from our shared achievements at Lenovo as we drive the next generation in technology!
Link to Job Ad:

Machine learning lead engineer – Huya, ChinaAnnouncement date: 12 April 2017

Huya Live ( is China’s leading interactive broadcast platform, provides users with high-definition, smooth and rich interactive video live service. We are looking for machine learning lead engineer. In this position, you’ll work with the team building the next generation intelligent video recognition platform. We expect candidates to be PhD in CS/EE specializing Machine Learning, Deep Learning or computer vision areas. Master degree with industry experience can be considered.
For more details please check,

Postdoctoral research position – Georgia Institute of Technology, Atlanta, GAAnnouncement date: 11 April 2017

I’m hiring for a postdoc position at the intersection of Machine Learning and Computer Vision at the Georgia Institute of Technology (Atlanta, GA).  Key technical elements of the work are likely to include learning visual attributes and manifold modeling of image transformations.  Full details here:

Deep Learning Engineer – HypeVR, San Diego, CAAnnouncement date: 7 April 2017

HypeVR is looking for deep learning engineer to develop solutions for 6DoF VR ( You need to be fluent in C++ and Computer Vision. Please contact for more details.

Postdoctoral research fellow – Karolinska Institutet, Stockholm, SwedenAnnouncement date: 5 April 2017

A postdoctoral position in 3D image analysis of intra-tumor heterogeneity is immediately available in the Crosetto lab for Quantitative Biology and Technology ( with the goal of studying phenotypic, genetic, and transcriptional intra-tumor heterogeneity by high-throughput microscopy imaging of serial tissue sections from different tumor types and hundreds of patients. The position is funded through a 33 million SEK research grant (Integrated Visualization of Intra-Tumor Heterogeneity) recently awarded to Dr. Crosetto by the Swedish Foundation for Strategic Research (SSF).

Applied Deep Learning Postdoctoral Fellowship – National Research Council of Canada, OttawaAnnouncement date: 4 April 2017

This is a 2 year postdoctoral position ($64,000/year) aimed at applying deep learning to problems in energy and nano science. We are a computational physics group at a National Laboratory in Canada. The position is ideally suited for recent graduates who are interested in applying their technical skills to challenging and important problems in deep learning.
Please find a link to the full description

Senior Data Scientist – SAP – Walldorf/St. Leon-Rot, BW, DE Announcement date: 3 April 2017

As a Senior Data Scientist / Data Science Expert for our Deep Learning Center of Excellence, you will solve our customer’s biggest business challenges with deep learning models. Requires 5+ years of professional experience. Need hands-on experience with one or more leading deep learning frameworks (TensorFlow preferred; CNTK, MxNet, Caffe, Theano, Torch etc. a plus)

(Associate) Data Scientist – SAP – Walldorf/St. Leon-Rot, BW, DEAnnouncement date: 3 April 2017

You will turn initial models into scalable production APIs on SAP’s cloud platform to integrate into existing and new offerings. Graduates and those with under 4 years experience are invited to apply. Requires hands-on experience with one or more leading deep learning frameworks (TensorFlow preferred; CNTK, MxNet, Caffe, Theano, Torch etc. a plus).

Senior Developer – SAP – Walldorf/St. Leon-Rot, BW, DE Announcement date: 3 April 2017

Lead encapsulation of deep learning models in scalable cloud services. 5+ years of professional experience required. Requires familiarity with convolutional neural networks, recurrent neural networks, reinforcement learning, generative adversarial networks, and memory networks.

(Associate) Developer – SAP – Walldorf/St. Leon-Rot, BW, DE Announcement date: 3 April 2017

You will work with product and solution units to solve our customer’s biggest business challenges with machine learning models. Students and those with under 4 years experience are welcome to apply. Requires hands-on experience with one or more leading deep learning frameworks (TensorFlow preferred; CNTK, MxNet, Caffe, Theano, Torch etc. a plus).

Developer / Senior Developer – SAP – Singapore, Announcement date: 3 April 2017

Initiates and participates in projects in the area of prediction, optimization, and processes using advanced statistical / mathematical approaches. At least 5 years of experience in deep learning / machine learning / data science development projects with a focus on innovation. Proficiency in handling of multi-terabyte datasets in big data frameworks.

Developer / Senior Developer – SAP – Singapore, Announcement date: 3 April 2017

This role combines machine learning with huge data sets, associated processes and business implications, and building and maintaining innovative new products from the ground-up. Requires track record of developing novel learning algorithms and/or systems. Requires experience with Deep Learning software packages & libraries such as Caffe, Torch, Theano, TensorFlow, Scikit-learn, DeepLearning4j and programming languages such as Python, C++, Java, Scala etc.