Assistant Professor of Neurobiology

Harvard University

Boston (MA)

On-site

USD 162,000 - 219,000

Full time

14 days+
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Job summary

The Department of Neurobiology at Harvard Medical School (HMS) and the Kempner Institute invite applications for a tenure-track Assistant Professor. We seek outstanding candidates whose work advances both HMS and Harvard University and who will establish a joint laboratory program at both campuses.

Candidates should hold a Ph.D., M.D. or equivalent and have a strong record in machine learning, mathematical modelling, and theoretical neuroscience.

Qualifications

  • Ph.D., M.D. or equivalent graduate degree required.
  • First faculty position; applicants should be early-career researchers.
  • Strong background in computational neuroscience with ML and modelling.

Responsibilities

  • Establish a dual HMS and Harvard unit laboratory focused on computational neuroscience.
  • Lead high-impact research using machine learning and mathematical modelling.
  • Teach and mentor graduate and medical students across affiliated institutions.

Skills

Computational neuroscience
Machine learning
Mathematical modelling

Education

Ph.D., M.D. or equivalent

Job description

The Department of Neurobiology at Harvard Medical School ( HMS ) and the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University invite applications for a tenure track position with a rank of Assistant Professor. We seek outstanding candidates working in the field of computational neuroscience, broadly defined, whose work will advance the mission of both institutions, and who would be a member of both institutions’ faculty and establish a physical laboratory research program at both institutes. We seek to recruit a computational researcher with expertise in machine learning and mathematical modelling whose work addresses theoretical and computational topics in neuroscience and impacts our understanding of both natural and artificial intelligence. The applicant’s research may also include an experimental program component to be housed on the HMS campus. This position offers outstanding scholarly and scientific resources in a collegial and collaborative department with strong ties to related departments throughout Harvard University, the Harvard-affiliated teaching hospitals, and the Boston neuroscience and machine learning communities. The position provides the opportunity to join a growing coalition of researchers across the Harvard ecosystem interested in the organization and function of neural circuits using computational approaches. The position also offers the opportunity to teach exceptional graduate and medical students with strong interests in neuroscience, machine learning, and related fields. Candidates must have a Ph.D., M.D. or equivalent graduate degree. Only candidates applying for their first faculty position will be considered.

Additional Qualifications

If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.

Salary Range

Expected annual salary: Approximately $190,000, based on experience and qualifications.

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy . Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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