The Wu Tsai Institute (WTI), a university-wide interdisciplinary neuroscience initiative at Yale University, has an open posting for multiple endowed faculty positions, at any rank. Applicants from a broad range of disciplines—including (but not limited to) applied math, computer science, data science, engineering, biology, cognitive science, and psychology—who are interested in contributing to fundamental and basic understanding of how the mind works are encouraged to apply. Successful candidates will receive a tenure-track or tenured appointment in one or more departments in the Yale Faculty of Arts and Sciences, School of Engineering and Applied Science, and/or School of Medicine.
Founded by a historic gift, WTI is dedicated to advancing our understanding of human cognition and human potential by sparking interdisciplinary inquiry. We are building a vibrant community where experimentalists and theorists work together to advance basic research and fundamental understanding of how the mind works. Faculty identified through this search will receive an endowed chair and attractive start-up package, join a growing community of >130 faculty across Yale, and have access to state-of-the-art lab space and core facilities in our new research building, as well as special funding mechanisms, fellowships for postdocs and students, and other events and programs.
We are strongly committed to equity and inclusion. Our student body at the undergraduate and graduate levels is increasingly diverse and we seek to hire scholars who are committed to inclusion in their research, teaching, and service. Women, veterans, people with disabilities, and members of underrepresented racial and ethnic groups or the LGBTQ community are especially encouraged to apply. Faculty will also find excellent benefits, mentoring, and support, responsive to professional, dual career, childcare, and housing needs.
For more information and to apply, please visit https://apply.interfolio.com/110223. The deadline for candidates in non-computational areas is October 15, 2022, while the deadline for applicants whose expertise is computational in nature is December 15, 2022.