Description
The mission of Yale's Wu Tsai Institute (WTI) is to understand human cognition and explore human potential by sparking interdisciplinary inquiry. In this search, WTI invites exceptional candidates with expertise in computational areas to apply for a tenured endowed faculty position, at the Associate or Full Professor rank, to begin July 2027 or later. There is one opening available.
We seek applicants whose research program has made breakthroughs in computational modeling that advance theoretical understanding of the brain and cognition. Applicants should have a background in applied mathematics, computer science, data science, engineering, or related field and have research experience or interests at the interface of neuroscience and computation, in particular artificial intelligence and machine learning.
Successful candidates will receive a tenured appointment in one or more departments in the Faculty of Arts and Sciences, School of Engineering and Applied Science, and/or School of Medicine. WTI is dedicated to hiring, mentoring, and advocating for colleagues who foster excellence in our community through their research, teaching, mentoring, and service. We are eager to accommodate the needs of families and welcome applications from dual-career couples to this search or a combination of Yale searches.
Background: WTI was founded in 2021 by a historic gift from Joe Tsai and Clara Wu Tsai to reveal fundamental truths about the mind through the integrated study of the brain. Based at 100 College Street in New Haven, with research linkages across Yale campuses, WTI rests on three pillars that coordinate its research activities: the Center for Neurodevelopment and Plasticity, the Center for Neurocognition and Behavior, and the Center for Neurocomputation and Machine Intelligence. WTI enables interdisciplinary inquiry through fellowships for co-mentored postdocs, grad students, and undergrads; shared research facilities and services with cutting-edge technologies; collaborative grants to nucleate disruptive ideas; and regular conferences, workshops, seminars, and opportunities for professional development. WTI integrates approaches across disciplines through common mathematical, statistical, and computational frameworks. WTI fosters a welcoming environment that provides equal opportunity to people of a broad range of backgrounds and perspectives. For more information, please visit the WTI website: https://wti.yale.edu.
Qualifications
Applicants must have a PhD (or equivalent) at time of hire and hold a research faculty position or equivalent at a level of seniority appropriate for tenure at the time of the application.
Yale scientists are not eligible for this position.
Relevant fields in the past have included:
- computational neuroscience
- theoretical neuroscience
- applied mathematics
- data science
- machine learning
- computer science
- artificial intelligence
- biomedical engineering
- electrical engineering
Application Instructions
WTI seeks outstanding applicants who advance understanding of cognition across scales, species, and methods from a broad range of disciplines.
Applications will be evaluated on a rolling basis for alignment with the Center for Neurocomputation and Machine Intelligence beginning December 1st and until the position is filled.
Applicants must submit the following materials for full consideration:
- Application Form - Indicate your desired level of tenured appointment (Associate Professor or Full Professor) and broad area(s) of research.
- Research Contributions and Plans - Describe your most significant scientific discoveries and accomplishments to date and the focus and goals of your future research program in a supportive environment like WTI. Address how this vision aligns with the mission of WTI to understand cognition through an interdisciplinary lense. (4 pages max, references can be included in a separate page)
- Teaching, Mentoring, and Leadership - Describe your philosophy, experience, and plans for teaching and mentoring, including how you foster productive, fair, and welcoming research and learning environments. Describe your leadership experience and contributions, for example, improving your field(s) and/or institution. (2 pages max)
- Curriculum Vitae - Include your most recent CV with links to publications (or website).
If you have any questions, please contact wti@yale.edu.