Machine Learning Engineer- Stealth-Mode Autonomous Navigation Start-Up (Elite Team)  (Posted on Sep 14 2018)

I am currently working in partnership with a stealth-mode autonomous navigation start-up, who are looking for smart and highly motivated Machine Learning Engineers to join their team in the South Bay – to help scale their business.  

This company has built an elite team of researchers, engineers and mathematicians, working on fundamental safe algorithmic navigation, completely independent from any human input. Their current team is made up of individuals from CalTech, Stanford, MIT, Berkeley, UPenn, CMU, University of Cambridge, Google, Intel, Microsoft and Facebook. The strength of the core-team mirrors the company’s standards as a whole and the work that they have already begun to develop exemplifies this further.  

The applicability of my client’s product is vast – impacting a number of different autonomous technologies, including drones, robots and autonomous vehicles. All through use of their state of the art applied mathematics, computer vision and semi supervised deep learning technology. My client has a data-set in the multi-million range and has just closed its third round of funding ($multi-millions).  

The successful candidate will be an expert in working with novel unsupervised learning algorithms at petabyte scale. You have successfully implemented and maintained steady streams of deep learning experiments and have developed/maintained petabyte scale experiment analysis infrastructure.


NLP Post-doctoral Fellow – National Institutes of Health, Rehabilitation Medicine Department (Posted on Sep 13 2018)

We are seeking a post-doctoral fellow to engage in a project using NLP or text mining to analyze medical records and programmatic documents for the nation's largest disability programs, Social Security Disability Insurance and Supplemental Security Income, administered by the Social Security Administration. This is an unprecedented opportunity to harness unstructured information from millions of documents, use this information to improve SSA's disability adjudication process, and advance the body of medical knowledge related to disability. This is a fully funded multi-year post-doctoral fellowship.
PhD in CS, computational linguistics or related field
Dissertation in NLP/text mining/machine learning
Excellent quantitative and applied research skills
Strong oral/written communication skills
Ability to work effectively in a multidisciplinary team setting
Demonstrated proficiency in programming with a high-level programming language
Knowledge of state-of-the-art NLP/Text Mining methods
Experience applying deep learning techniques to text data
To Apply:  email the documents to Amy Yang, Management Analyst, Epidemiology and Biostatistics Section, NIH, Rehabilitation Medicine Department, Email:  Please refer to this announcement as the “NIH-RMD SSA NLP post-doctoral fellowship_[LAST NAME]”.
Application materials:
a summary of past research experience
graduate transcript
a copy of one of your published papers
a list of at least three references


Medical Image Analysis, University of Montreal (Posted on Sep 03 2018)

We are recruiting Interns/MSc/PhD/Postdoc fellows with strong skills in computer science, deep learning and image analysis for developing open-source analysis tools applied to neuroscience. Applications include:
- Automatic segmentation/labeling for MRI and histology data
- Multivariate diagnosis/prognosis tools for spinal cord injury and neurodegenative diseases (multiple sclerosis, ALS, etc.).
- Develop new methods based on GANs, reinforcement learning, etc. for medical applications

We are located at Ecole Polytechnique on the University of Montreal campus, with direct access to world experts in deep learning.


Postdoctoral Fellow in Medical Image Analysis (Posted on Aug 30 2018)

Our research group is looking for talented post-doctoral researchers to develop image analysis and machine learning algorithms to study the role of lung biomechanics in early and advanced chronic obstructive pulmonary disease (COPD).  We are particularly interested in individuals with experience in pulmonary image segmentation and registration, soft tissue biomechanics, tissue motion modeling, and disease trajectory models.


Administrative/Technical Assistant, Acadia Institute for Data Analytics (3 year term contract) (Posted on Aug 25 2018)

Acadia seeks an Administrative/ Technical Assistant to fill a 3-year term contract in the Acadia Institute for Data Analytics (AIDA) to work with AIDA staff in creating 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 Assistant will facilitate the management of the AIDA office and associated communications, meetings, events, web presence, project files, and accounting and finance. S/he will also provide technical assistance to the Director and staff in the areas of outreach and training, pre-project activities, editing of funding requests and project reports, and data analytics project efforts such as data preparation, machine learning and model evaluation.


Data Scientist, Acadia Institute for Data Analytics (3 year term contract) (Posted on Aug 25 2018)

Acadia seeks a Data Scientist to fill a 3- year term contract in the Acadia Institute for Data Analytics (AIDA) to play a lead role in working 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 Data Scientist will undertake pre-project work to determine the nature of a data analytics opportunity, develop a project proposal, apply for project and event funding, plan and manage all aspects of the project, supervise research and technical assistants, and work with ADIA staff on the promotion, outreach and training of data analytics in Nova Scotia and Atlantic Canada.


Postdoc Position at MIT in Machine Learning for Medicine (Posted on Aug 21 2018)

Massachusetts Institute of Technology'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 and treatment decision support.  The ideal candidate will have demonstrated an outstanding capability for independent research and a solid publication record in top-tier machine learning, AI conferences. Candidate must hold a Ph.D. degree in Computer Science, Machine Learning, Statistics, or a related field.  In addition to a curriculum vitae, applicants should submit a short statement of research interest to Li-wei Lehman,


Research Associate (Posted on Aug 08 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.


AMSTERDAM AI Engineer Deep Learning Cardiovascular with full EU visa possibilities (Posted on Jul 31 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.

• 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 Jul 26 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.


Postdoctoral researcher (Posted on Jul 11 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).


Machine Learning Engineer (Posted on Jul 11 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.


Postdoctoral Researcher (University of Vermont) (Posted on Jul 03 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.


 lecturer and researcher at ISEN (France-Brest) (Posted on Jun 29 2018)

Your mission is :
- as lecturer,  to teach in french machine-learning, computer science, image processing.
- as rechercher, to push the envelope in Deep Learning (DL) and Machine Learning (ML) for Internet of things (Iot).


Machine Learning AI Scientist (Posted on Jun 26 2018)

UtopiaCompression Corporation, based in Los Angeles, CA is a High-Tech Company and is currently seeking a Machine Learning AI Scientist to support a diverse range of programs including: SONAR image detection/classification, collaborative UAV navigation, scene understanding, situated & collaborative agent theories, taxonomy classification, medical diagnostics & training.  

•PhD/Post-Doc in computer science or electrical engineering with a focus on ML & AI
•Deep and 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, at least basic experience in C/C++
•Strong fundamentals in mathematics, statistics, probability theory, algorithms
•Experience with big data algorithms and systems
•Experience with computer vision
•Experience with 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


professor (Posted on Jun 25 2018)

Research Associate /Senior Research Associate positions for an ERC-funded project entitled “Generalisation in Mind and Machine”


CEO (Posted on Jun 20 2018)

Senior Data Scientist


Chief Data Strategist (Posted on Jun 19 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


DATA SCIENCE ASSOCIATE CONSULTANT : ZS Associates (Posted on Jun 14 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.


- 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.


Postdoctoral Fellowship for machine learning based vocal human behavior analysis (Posted on Jun 13 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 behavior 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.

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


Postdoctoral research fellow (Posted on Jun 10 2018)

Research jobs in Data Science/ Statistics/Machine Learning


Postdoctoral researcher for visual human behavior analysis (Posted on May 31 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.


PhD student position (Posted on May 26 2018)

Apply Deep Learning to biomedical data especially interested in microscopic images.


Deep Learning Engineer - Computer Vision (Posted on May 22 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.


Senior Backend Engineer (Posted on May 17 2018)

Twitch: We are hiring for mid-level to senior backend engineers!


Senior Applied Scientist (Posted on May 17 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!


Postdoctoral Fellow – Machine Learning for Cognitive modelling at University of Padova (Italy) (Posted on May 17 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). Please email a CV with list of publications and a short motivation letter to Dr. Alberto Testolin.


Postdoctoral Fellow – Machine Learning for Telecommunications at University of Padova (Italy) (Posted on May 17 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.


Computer Vision & Deep Learning Research Scientist (Posted on May 15 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.).


3D Computer Vision & Deep Learning Researcher (Posted on May 15 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.).


Deep Learning Scientist  (Posted on May 15 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.


Deep Learning Researcher (Posted on May 15 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.).


Research Consultant  (Posted on May 15 2018)

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


Research Consultant  (Posted on May 15 2018)

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


Deep Learning Methods for Constrained Environments (Posted on May 14 2018)

Postdoctoral position at the School of Informatics, University of Edinburgh.  We are developing methods for compressing and improving learning speed in deep learning settings. We are particularly interested in understanding why stochastic gradient methods are able to produce good generalisation, and design ways to improve and speed up the learning process. We will also be looking at meta-learning methods for transfer of information from previously learnt domains to new domains.


Postdoc position in machine learning and neuroimage analysis (UT Southwestern, Dallas, TX USA ) (Posted on May 11 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.


Post-doc/PhD positions in Neural Machine Translation (CIS, LMU Munich) (Posted on May 11 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.

Prof. Dr. Alexander Fraser
University of Munich (LMU)
Center for Information and Language Processing
Oettingenstrasse 67
80538 Munich



Postdoctoral Fellow (Posted on May 08 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.


Postdoc: Deep Learning Methods for Constrained Environments (Posted on May 07 2018)

Postdoc: with Amos Storkey, School of Informatics, University of Edinburgh.
Deadline: 18-May-2018
Title: Deep Learning Methods for Constrained Environments
Requirements: Machine Learning or related PhD or equivalent.

Further details and to apply:

Informal discussion is very welcome: please email with a CV.


Computer Vision Specialist, Deep learning (Posted on May 03 2018)

Computer Vision Specialist, Deep learning – Zhuhai city, China

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 scientifics 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 May 01 2018)

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


Postdoctoral Researcher (Posted on Apr 25 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.


Assistant Professorship in Cognitive Computing  (Posted on Apr 25 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.