The Serre lab has an opening for a postdoctoral fellow (available immediately) to focus on the development of neuroscience-inspired deep-neural 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 are developing and testing 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 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.