Assistant/Associate/Full Professor, Wu Tsai Institute and Partner Department(s)
The Wu Tsai Institute (WTI), a new university-wide neuroscience initiative at Yale University, invites applications for multiple endowed faculty positions at any rank to begin July 2022. The mission of WTI is to understand human cognition and explore human potential by sparking interdisciplinary inquiry. We seek outstanding scholars who will advance this mission across scales, species, and methods from a broad range of disciplines, including (but not limited to) neuroscience, biology, psychology, cognitive science, data science, computer science, and engineering. Preference will be given to candidates whose research bridges across disciplines. Successful candidates will receive tenure-track or tenured appointment(s) in one or more departments in the Faculty of Arts and Sciences and/or School of Medicine. Applicants must have a PhD (or equivalent) at time of hire. We are dedicated to hiring, mentoring, and advocating for colleagues who will foster equity and excellence in our community through their research, teaching, and service. Plans to promote these values should be an integral part of the application, backed by a demonstrated commitment to diversity, inclusion, and multicultural competence in educational, work, and research environments. Women, protected veterans, persons with disabilities, and members of underrepresented minority groups are strongly encouraged to apply.
Background: WTI was founded in 2021 by a historic gift from Joe Tsai and Clara Wu Tsai, bringing together advances from different subfields of neuroscience (molecular, cellular, systems, cognitive, computational) and connected disciplines to reveal fundamental truths about the mind through integrated study of the brain. WTI consists of three pillars that coordinate research activities from complementary perspectives: the Center for Neurodevelopment and Plasticity, the Center for Neurocognition and Behavior, and the Center for Neurocomputation and Machine Intelligence. WTI enables interdisciplinary collaboration and cooperation through co-mentored fellowships for postdocs, grad students, undergrads; shared facilities and services with the newest technologies; internal grants to promote disruptive ideas; and regular events and opportunities for researchers at any stage to learn new concepts and skills. WTI grounds integration across approaches in the common mathematical and statistical language of data science, toward new computational frameworks for cognition. WTI will succeed because of diversity in the backgrounds, identities, and perspectives of members, with efforts to confront inequity and create an inclusive environment woven into the fabric of every program and initiative. WTI will move into a cutting-edge home at 100 College Street in New Haven in late 2022, purpose-designed for modern science and maximal interaction and collaboration.
Applicants must have a PhD (or equivalent) at time of hire.
Review of applications will begin on October 15, 2021 and will continue until the positions are filled. For questions, please contact Sharon Paulin at email@example.com
Applicants should submit research statements (two documents, see below), mentoring and teaching statement, diversity statement, and curriculum vitae to: http://apply.interfolio.com/93019
If you are an applicant for a non-tenured position, we request three letters of recommendation (does not apply for tenured positions).
- Application Form – Indicate your desired level of appointment (Assistant, Associate, Full), WTI Centers of interest, and broad area(s) of research.
- Research Contributions – Describe your most significant scientific discoveries and accomplishments to date. (2 pages max, including optional figures and references)
- Research Plans – Describe the focus and goals of your future research program in a resource-rich environment like WTI; discuss how this vision aligns with the mission of WTI to understand cognition. (2 pages max, including optional figures and references)
- Mentoring and Teaching – Describe your philosophy, experience, and plans for mentoring and teaching students. (1 page max)
- Diversity, Equity, and Inclusion – Describe your understanding of the challenges facing historically underrepresented groups in science, as well as your experience, commitment, and ideas for addressing these inequities. (1 page max)
- Curriculum Vitae – Include your most recent CV with links to publications (or website).