Skip to main content

Two positions available in data visualization and AI/robotics

Engineer position: Multi-dimensional data visualization
XPLOR is a unique visualization software developed by the Computing and Data Science team at CNRS laboratory UNIC (Unit of Neuroscience, Information and Complexity). It offers smooth navigation inside large multi-dimensional data and fast extraction of meaningful information. It allows the exploration and fast interpretation of large volumes of neurobiology imaging data, yet it is a powerful generic platform with potential applications to all domains treating with large multi-dimensional data. Further developments of the software can include new visualization modes or linkages between different displays, as well as the inclusion of machine learning algorithms to automatically extract regularities in the data (e.g. clustering, dimension reduction, etc.).

The company is looking for an engineer with skills in data visualization, graphic UI/UX programming, and/or machine learning to contribute to and promote an open-source visualization project named XPLOR.

In addition to their technical skills, the engineer should display a sense of initiative, as they will be offered an important freedom to decide in which direction to develop the software, to best satisfy the needs of potential users. They will therefore meet several research teams inside the Neuropsi Institute (the CNRS unit to which UNIC laboratory belongs) and discuss with them the needed functionalities. They will have the choice between further developing the Matlab version of XPLOR, or moving it to Python. They will also be encouraged to find new usages, and study whether industrial applications exist.

The position is for one year and is funded by the Lidex Paris-Saclay program BRAINSCOPE.

Salary: CNRS Research Engineer, gross salary 2,471€ to 2,664€ per month according to experience.

Web page of the team: https://www.unic.cnrs-gif.fr/teams/Computing and Data Science.

Contact: thomas.deneux@unic.cnrs-gif.fr

---------------------------------------------------------------------------------------------------------------------

Engineer position: Bio-inspired toy robot with reinforcement learning
The Computing and Data Science team at CNRS laboratory UNIC (Unit of Neuroscience, Information and Complexity) develops a bio-inspired robot for future neuroscience research, which will also be commercialized as an educative toy to teach children about artificial intelligence. The current prototype is the object of regular school classes’ demonstrations. The company is looking for an engineer with skills in reinforcement learning, programming, and/or robotics to contribute to the development of an educational toy robot embedded with learning capabilities.

The engineer will contribute principally to the artificial intelligence of the robot, using modern RL
algorithms to improve its learning capabilities and handle a wider range of sensors (e.g. camera) and
reward modes. In addition, and depending on its qualification, they will also contribute to hardware
prototyping and hardware/software integration.

Applicants should hold a PhD or a Master degree in computer science or related fields, display
advanced programming skills and be trained in machine learning (ideally in the RL field).

Salary: CNRS Research Engineer, gross salary 2,471€ to 2,664€ per month according to experience.

The position is for one year. If the project is successful, the engineer will have an opportunity to
participate to the creation of the “Naivia” startup by becoming an early employee or co-founder if
appropriate.

Web page of the team: https://www.unic.cnrs-gif.fr/teams/Computing and Data Science.
Contact: thomas.deneux@unic.cnrs-gif.fr


Comments

Popular posts from this blog

CS/Data Science/Digital Hardware option transfers NOW OPEN

The CS Undergraduate Advising Office has opened applications for CS transfers for Fall 2017. The online application is available at  https://oat.uwaterloo.ca/forms   and will be open from Tuesday, December 5 until  Sunday, December 31, 2017, at 11.59 p.m. We're accepting applications for: Transfer from Math to CS - at a minimum, must have taken CS 136 or be taking it in Fall 2017. Transfer from CS to BCS (Data Science) - must have taken STAT 231 or be taking it in Fall 2017. Transfer from CS to CS/Digital Hardware Adding a Joint CS to an out-of-faculty plan Transfer from outside of Math to CS (pending approval from Math) Answers to common questions about the transfer process can be found in the CS FAQs  (particularly #2 and #151).

AI, Internet of Things, Cybersecurity Online Conference - October 14 & 15, 2017

The world’s largest online conference kicks off this fall stronger than ever by assembling the best  industry leaders, disruptive minds, and visionaries. You’ve read their books and applied their work - now  it’s time to ask them questions, talk to them individually, accept their challenges, and get their feedback!  300 speakers interact with you through live talks, Q&A’s, forum and 1-to-1 video calls. Topics range from  ML to cyber intelligence to industrial IoT. Confirmed speakers for October 14&15th: Ian Goodfellow - Research Scientist, Google Brain Hugo Larochelle - Research Scientist, Google Sandy Carter - VP, Amazon Web Services Louis Monier - Head of AI, AirBnB Tim Abels - Director of Server Architecture, Intel Ashok Banerjee - CTO and VP Engineering, Symantec Andreas Mueller - Lecturer in Data Science, Columbia University Roman Yampolskiy - Assistant Professor, University of Louisville Patrick McDaniel - Distinguished Professor, Penn State ...

Grad students needed to mark reports for PD2

WatPD is currently seeking graduate students to mark reports for PD2: Critical Reflection and Report Writing from late-March to early-April. Students in this course must write a 16-20 page report which is worth 50% of their final grade. With over 1500 reports expected to be submitted, we need your help! Strong candidates for this position will have: ·          a desire to support students in an online learning environment ·          previous marking and/or teaching experience (preferably post-secondary) ·          strong written communication skills ·          an ability to correct quality of writing errors ·          a good understanding of English grammar and syntax To be eligible for this position, you must be available for training sessions in March that are held on ...