Assistant/Associate/Full Professor, Neurocomputation, Wu Tsai Institute and Partner Department(s)

[Giovanna Guerrero-Medina]

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 an endowed faculty position, at any rank, to begin July 2026. There are two openings available.

We seek applicants whose research program has made, or shows promise to make, 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 tenure-track or 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 links to research 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.

Current Yale scientists are not eligible for this position.

Application Instructions

Please apply by December 1, 2025, at 4:00 pm EST. Review of applications will begin immediately after the deadline, and applicants will be informed about the status of their application by the end of March.

Applicants must submit the following materials for full consideration to apply.interfolio.com/170976

• Application Form – Indicate your desired level of appointment (Assistant, Associate, Full) and broad area(s) of research.
• Research Contributions – Describe your most significant scientific discoveries and accomplishments to date. (2 pages max)
• Research Plans – Describe 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. (2 pages max)
• Teaching and Mentoring – Describe your philosophy, experience, and plans for mentoring and teaching students and how you foster productive, fair, and welcoming research and teaching environments. (2 pages max)
• Curriculum Vitae – Include your most recent CV with links to publications (or website).
• Letters of Recommendation – If you are applying for an Assistant Professor rank (untenured), you must request three letters of recommendation by the deadline. If you are applying for an Associate or Full Professor rank (tenured), you should not request letters.

For further information, please contact w...@yale.edu