Postdoc position in BCI and deep learning, Serre Lab, Brown University

Postdoc position in BCI and deep learning
Serre Lab, Brown University

The Serre lab has an opening for a postdoctoral fellow to focus on the development of neuroscience-inspired deep-network algorithms towards the design of an intelligent spinal interface. In collaboration with other researchers at Brown, surgeons from Rhode Island Hospital and private partners, we will develop and test a device aimed at bridging the gap in neural circuitry created by spinal cord injury, in the hope of restoring muscle control and sensation. The postdoc will be responsible for overseeing the development of an AI-based interface working with other members of the Serre lab and collaborators at Intel. The successful candidate will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. The fellow will be located in a new state-of-the-art facility within the Carney Institute for Brain Science and embedded within the (soon to be launched) Carney Center for Computational Brain Science. We also expect synergies with the Data Science Initiative co-located within the same building.

Press release about the Intelligent Spine Interface project:
https://www.brown.edu/news/2019-10-03/isi

More information about the Serre lab:
https://serre-lab.clps.brown.edu

More information about the Carney Institute for Brain Science:
https://www.brown.edu/carney

** Requirements **
Candidates must have a strong background in computational neuroscience and/or machine learning, with a track record of relevant publications at top machine learning venues (e.g., NeurIPS, ICML, ICLR, etc.) and/or neuroscience journals.

Excellent Python programming skills and Tensorflow and/or Pytorch experience are required.

** Application **
Please send your application to thomas_serre@brown.edu with the subject line “postdoc position.” Please include:
— a brief statement of interests
— a curriculum vitae
— a list of publications
— an anticipated start date
— the name of 2-3 reference writers (no letter needed at this stage).

There is no deadline for the application, but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found.

** About the Carney Institute for Brain Science and the (soon to open) Center for Computational Brain Science **
The Carney Institute for Brain Science at Brown University advances multidisciplinary research, technology development, and training in the brain sciences and works to establish Brown University as an internationally recognized leader in brain research. The institute was just endowed with a recent $100 million gift. Carney unites more than 100 faculty members from a diverse group of departments at Brown, spanning basic and clinical departments, and physical and biological sciences. Carney provides a mechanism to advance interdisciplinary research efforts among this broad group.

The Center for Computational Brain Science (CCBS) will be an energetic and enthusiastic effort that fosters synergistic collaborations across Brown departments. Groups affiliated with the center will work on two core levels of computation. The first level focuses on theoretical neuroscience, including computational perception, control over action and learning, and fundamental questions in neuronal networks (synaptic plasticity, circuits, networks, oscillations). The second level focuses on applications and neurotechnology, including brain-machine interfaces, advanced neural data analysis, computer vision, computational psychiatry, and robotics. CCBS will include nearly two dozens core computational faculty spanning six departments, and many more faculty who incorporate computation for theory development, analysis, or both.