AI News, Deep Learning Job Listings
Deep Learning Job Listings
In this page, you can find job listings and job announcements related to the deep learning field.
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.
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 information please visit: https://mila.quebec/en/2018/06/software-analyst-3x-software-analyst-in-machine-learning/ 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: https://mila.quebec/en/2018/06/linux-systems-administrator-intermediate/ 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 ( http://www.utsouthwestern.edu/labs/montillo ) 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.
This candidate is already working externally in the Munich area, and wishes to carry out research for a PhD degree. Link: http://www.cis.uni-muenchen.de/~fraser/hiring_201805.txt Correspondent: firstname.lastname@example.org 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.
Link: https://drive.google.com/file/d/1Db9EfhwUGo9-KX58kLAFup1_pLDt57u5/view?usp=sharing Correspondent: email@example.com 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: https://jobs.lever.co/twitch/d886bdce-6249-4a5b-9c51-5a28d20839ca Correspondent: firstname.lastname@example.org PhD student position (Posted on June 12, 2018) Apply Deep Learning to biomedical data especially interested in microscopic.
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.
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).
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.
You have a stellar publication record, with acceptance at conferences including MICCAI, ICML, CVPR, SIIM, MIDL, NIPS etc. Correspondent: email@example.com 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.
Link: https://academic.uthsc.edu/faculty/facepage.php?netID=rkamales&personnel_id=345335 Correspondent: firstname.lastname@example.org Computer Vision Specialist, Deep learning (Posted on June 8, 2018) RESEARCH ENGINEER IN ARTIFICIAL INTELLIGENCE (Posted on June 8, 2018) Associate Professor (Teaching and research ) (Posted on June 8, 2018) Computer Vision Specialist, Deep learning – Zhuhai city, China (Posted on May 3, 2018) Applied Scientist Twitch (San Francisco, CA, USA) (Posted on April 26, 2018) Assistant Professorship in Cognitive Computing (Posted on April 26, 2018) Postdoctoral Researcher (Posted on April 26, 2018) Computer Vision Research Engineer (Posted on April 13, 2018) PhD studentship, Medical Deep Learning, computational Statistics, Singapore National University of Singapore (Posted on April 13, 2018) Machine/Deep Learning Engineer GFK (Posted on April 11, 2018) Machine/Deep Learning Engineer GFK (Posted on April 6, 2018) Postdoctoral Fellow –
Accelerated electronic structure with deep learning (Posted on March 21, 2018) Natural Language Generation researcher at MaketMuse (Posted on March 21, 2018) Deep Learning Research Scientist at whiterabbit.ai (Stanford Startup) (Posted on March 12, 2018) Doctoral Student in Deep Learning (KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science) (Posted on March 9, 2018) For more information please follow this link.
RESEARCH SCIENTIST (MACHINE LEARNING / PREDICTION) (Posted on March 5, 2018) Senior Research Scientist in Machine-Learning and Neuroimaging (Posted on Feb 26, 2018) Chair in Machine Learning (Full or Associate professor) Faculty of Science of the University of Amsterdam (Posted on Feb 25, 2018) Senior Analyst, Quantitative Analysis, Kansas City Royals (Posted on Feb 22, 2018) Research Council Officer, Biomedical Data Intelligence (Posted on Feb 16, 2018) 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) Postdoctoral Fellow – Deep Learning for 3D Medical Imaging – National University of Singapore (Posted on Feb 14, 2018) Senior Computer Vision &
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.
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: https://angel.co/medvice-2/jobs/293566-artificial-intelligence-ai-software-engineer 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.
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.
more information on the college-wide expansion, please visit: https://www.ncf.edu/about/departments-and-offices/human-resources/employment/grow-with-us/ Tenure-Track Faculty Positions in the School of Computing – Clemson University – Clemson, South Carolina, Announcement 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).
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: https://apply.interfolio.com/45929 (Computer Science), https://apply.interfolio.com/46047 (Visual Computing), https://apply.interfolio.com/46005 (Human-Centered Computing) Computer Vision and Deep Learning Opportunities – ObjectVideo Labs – Tysons, Virginia, Announcement 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.
for more details: http://www.clemex.com/en/About/Careers 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: http://camma.u-strasbg.fr/ 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.
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.
Full offer: https://www.emploi.cea.fr/Pages/Offre/detailoffre.aspx?idOffre=3242 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.
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.
Stardog – Arlington, VA / Boston, MA or Remote, Announcement date: 8 September 2017 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.
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: https://indiana.peopleadmin.com/postings/4367 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 (http://www.hrl.com).
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.
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, …).
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 https://autodesk.taleo.net/careersection/adsk_cmp_eng/jobdetail.ftl?job=17WD23810 Postdoctoral Innovation Research Associate Fellowship –
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
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.
: http://emploi.epfl.ch/page-144140-en.html 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.
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.
postdoctoral position in 3D image analysis of intra-tumor heterogeneity is immediately available in the Crosetto lab for Quantitative Biology and Technology (https://bienkocrosettolabs.org/) 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 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 http://esviz.org/positions Senior Data Scientist –
OSCT Annual Meeting: The Journey from Machine Learning to Deep Learning
is an advanced computational learning strategy concerned with techniques and methodologies inspired by the function of the human brain.
Many scientific and industrial disciplines now use the approach to discover hidden patterns and facts from massive and diverse data sources.
Deep Learning shows promise in a wide variety of applications ranging from object tagging and speech recognition to disease diagnosis and treatment.
We describe currently available state-of-the-art Deep Learning components, explore Deep Learning strategies (both what they do and how they work), and present real world Deep Learning examples from within development environments.
Tafti is a Research Scientist at Marshfield Clinic Research Institute, with a deep passion for improving health informatics using diverse medical data sources plus advanced computational methods.
in the field of Computer Science from the University of Wisconsin-Milwaukee and since then, he has been on a quest to explore and solve health informatics problems that make the most positive impact on people’s lives.
Ahmad's major interests are computational vision, machine learning, and computational health informatics.
He has spent the past two years working with the Autism clinic at Marquette University to integrate computational tools with current interventions.
Groundbreaking Deep Learning Research Takes the Stage at GTC
NVIDIA researchers aren’t magicians, but you might think so after seeing the work featured in today’s keynote address from NVIDIA founder and CEO Jensen Huang at the GPU Technology Conference, in San Jose.
And one could accelerate autonomous vehicle development by easily creating data to train cars for a wider variety of road conditions, landscapes and locations.
The pair of research projects are the latest examples of how we’re combining our expertise in deep learning with our long history in computer graphics to advance industries.
Our 200-person strong NVIDIA Research team — spread across 11 worldwide locations — is focused on pushing the boundaries of technology in machine learning, computer vision, self-driving cars, robotics, graphics, computer architecture, programming systems, and other areas.
You aim the camera at a dimly lit scene, and your picture turns out grainy, mottled with odd splotches of color, or white spots known as fireflies.
Producing clean images is a common problem for medical imaging tests like MRIs and for astronomical photos of distant stars or planets — situations in which there’s too little time and light to capture a clean image.
Instead of training the network on matched pairs of clean and noisy images, it trains the network on matched pairs of noisy images — and only noisy images.
The research team’s method relies on generative adversarial networks (GANs), a deep learning technique often used to create training data when it’s scarce.
Today, creating virtual environments for computer games requires thousands of hours of artists’ time to create and change models and can cost as much as $100 million per game.
AIML: The 1st IEEE International Workshop on Advances in AI and Machine Learning: Research Practice
Call for Papers After decades of generous promises and several frustrating disappointments, artificial intelligence (AI) and machine learning (ML) is finally starting to deliver real benefits, and early adopters in business and industry are embracing its promise reaping benefits.
to make the connected, smartening world more smarter and to embrace AI for good for benefit of society, advances in AI and ML, their new innovative applications, and challenges and lessons learned need to be shared and discussed.
Machine Learning Healthcare Applications – 2018 and Beyond
In the broad sweep of AI’s current worldly ambitions, machine learning healthcare applications seem to top the list for funding and press in the last three years.
Since early 2013, IBM’s Watson has been used in the medical field, and after winning an astounding series of games against with world’s best living Go player, Google DeepMind‘s team decided to throw their weight behind the medical opportunities of their technologies as well.
We’ve written this article, not to be a complete catalogue of possible applications, but to highlight a number of current and future uses of machine learning in the medical field, with relevant links to external sources and related TechEmergence interviews.
Microsoft’s InnerEye initiative (started in 2010) is presently working on image diagnostic tools, and the team has posted a number of videos explaining their developments, including this video on machine learning for image analysis: Deep learning will probably play a more and more important role in diagnostic applications as deep learning becomes more accessible, and as more data sources (including rich and varied forms of medical imagery) become part of the AI diagnostic process.
MSK has reams of data on cancer patients and treatments used over decades, and it’s able to present and suggest treatment ideas or options to doctors in dealing with unique future cancer cases –
IBM is going to great lengths to acquire all the health data it can get its hands on, from partnering with Medtronic to make sense of diabetes and insulin data in real time, to buying out healthcare analytics company Truven Health for $2.6B.
While much of the healthcare industry is a morass of laws and criss-crossing incentives of various stakeholders (hospital CEOs, doctors, nurses, patients, insurance companies, etc…), drug discovery stands out as a relatively straightforward economic value for machine learning healthcare application creators.
This device allows surgeons to manipulate dextrous robotic limbs in order to perform surgeries with fine detail and in tight spaces (and with less tremors) than would be possible by the human hand alone.
Here’s a video highlighting the incredible dexterity of the Da Vinci robot: While not all robotic surgery procedures involve machine learning, some systems use computer vision (aided by machine learning) to identify distances, or a specific body part (such as identifying hair follicles for transplantation on the head, in the case of hair transplantation surgery).
The promise of personalized medicine is a world in which everyone’s health recommendations and disease treatments are tailored based on their medical history, genetic lineage, past conditions, diet, stress levels, and more.
giving someone a slightly lesser dose of Bactrim for a UTI, or a completely unique variation of Bactrim formulated to avoid side effects for a person with a specific genetic profile), it is likely to make much of its initial impact in high-stakes situations (i.e.
In the diabetes video created by Medtronic and IBM (visible here), Medtronic’s own Hooman Hakami states that at some point, Medtronic wants to have their insulin checking pumps work autonomously, monitoring blood-glucose levels and injecting insulin as needed, without disturbing the user’s daily life.
While western medicine has kept its primary focus on treatment and amelioration of disease, there is a great need for proactive health prevention and intervention, and the first wave of IoT devices (notably the Fitbit) is pushing these applications forward.
Machines have recently developed the ability to model beyond-human expertise in some kinds of visual art and painting: If a machine can be trained to replicate the legendary creative capacity of Van Gough or Picaso, we might imagine that with enough training, such a machine could “drink in”
Surely there is opportunity, but there are also unique obstacles in the medical field that aren’t always present in other domains: The above challenges are no reason to stop innovating, and I’m sure there there are some clinicians who have their fingers crossed that more of the world’s data scientists and computer scientists will hone in on improving healthcare and medicine.
- On Tuesday, January 22, 2019
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