Neuroscience Faculty Positions - Computational (2026-2027)

The Department of Neuroscience at Yale University is hiring tenure-track faculty with interests in computational or theoretical neuroscience, including candidates who use computational methods, machine learning and AI to link models with experimental data across neural activity analysis, network modelling, imaging, bioinformatics and molecular modelling. Recruitment emphasises the Assistant Professor level; Associate Professor appointments may be considered.

The computational neuroscience community includes the Department of Neuroscience, the Wu Tsai Institute, the Kavli Institute for Neuroscience and the Department of Biomedical Informatics and Data Science. New faculty receive a start-up package and ongoing salary support. Applications are reviewed as received, with priority for those received by 30 November 2026.

PhD, MD or equivalent degree. Materials: cover letter stating the desired level of appointment (Assistant or Associate Professor); one-page community impact statement; research statement of at most three pages including optional figures and references; CV with links to publications or website; three letters of recommendation.