Stanford University is launching an interdisciplinary Neuro-AI project dedicated to building a foundation model of the brain (https://enigmaproject.ai/). This endeavor will involve multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute. Leveraging cutting-edge advances in electrophysiology and machine learning, this project aims to create a functional "digital twin" — a model that captures both the activity dynamics of the brain at cellular resolution and the intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem-solving.
This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking
*Research Scientist / Engineer: Systems Neuroscience*
https://careersearch.stanford.edu/jobs/systems-neurosciences-engineer-26471
*Systems Engineer: Experimental Neuroscience*
https://careersearch.stanford.edu/jobs/systems-engineer-26474
We are seeking candidates passionate about team-oriented science at industry-scale and who love developing and implementing new experimental paradigms for visual/sensory neuroscience, including stimulus design, behavior task design, large-scale electrophysiology recordings, and more. Experience with non-human-primate experiments is a big plus.
Please spread the word and feel free to reach out if you have any questions.
Katrin Franke, PhD
Senior Research Scientist
Byers Eye Institute
Department of Ophthalmology
Stanford Medicine