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The Department of Neuroscience at Yale University seeks to hire new tenure track faculty members with interests in computational or theoretical neuroscience. We recognize that artificial intelligence and machine learning are changing all aspects of neuroscience from analysis of neural activity to network modeling to imaging to bioinformatics. We are enthusiastic about candidates using computational methods to link models with experimental data, and are convinced that merging these disciplines is key to the progress of neuroscience.
The successful candidates will be embedded in a richly collaborative community supporting intellectual creativity. The Yale Neuroscience Department realizes that the full potential of our research lies in the power that diverse perspectives bring to the field. We are working to foster an environment where individuals of any race, gender identity, ethnicity, religion, socioeconomic class, sexual orientation, and geographical background feel supported and empowered to push forward the frontiers of neuroscience based on the principles of inclusivity, equity and belonging. We therefore strongly encourage applicants from historically minoritized backgrounds to apply.
Emphasis will be placed on recruiting at the level of Assistant Professor, but applicants at Associate Professor level may be considered. The neuroscience community at Yale is dynamic and expanding, and includes the Kavli Institute for Neuroscience, the Wu Tsai Institute, the Program in Cellular Neuroscience, Neurodegeneration and Repair (CNNR) and the Swartz Program in Theoretical Neuroscience. The Department has just moved to new space optimized for modern science and maximal interaction and collaboration. New faculty will be supported by a generous start-up package and ongoing salary support. Faculty are expected to develop a productive and innovative research program that will include the opportunity to participate in graduate and medical education.
Candidates must hold a Ph.D., M.D., or equivalent degree. Please send a cover letter, a community impact statement, a research statement, a curriculum vitae, and arrange for submission of 3 letters of recommendation.
All application materials should be submitted electronically to https://apply.interfolio.com/153994. Any questions regarding the application process may be addressed to pauline.charbogne@yale.edu. Applications will be reviewed as they are received until the positions are filled with priority given to those applications received by November 30, 2024.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
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