The Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT) located in Cambridge MA, together with the MIT Schwarzman College of Computing (SCC), invites applications for a faculty position at the level of tenure-track Assistant Professor beginning July 1, 2025 (for the 2025–26 academic year), or as soon thereafter as possible. We seek candidates whose research uses computational methods to understand natural intelligence. These methods could potentially include a diverse range of computational tools, such as machine learning, computer vision, robotics, probabilistic modeling, dynamical systems, planning, programming languages, and natural language processing. Candidates from computer science, engineering or related backgrounds that collaborate with neuroscientists and cognitive scientists are encouraged to apply. A PhD degree in neuroscience, biology, physics, electrical engineering, computer science, or another relevant field is strongly preferred and required by the start of employment.
The Department of Brain and Cognitive Sciences offers supportive mentorship to junior faculty, an exceptional environment for scientific inquiry, and a strong commitment to an inclusive, welcoming culture. The successful candidate will have a shared appointment in both the Department of Brain and Cognitive Sciences and SCC in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS), depending on best fit. Faculty duties include conducting original scholarly research, teaching courses at the graduate and undergraduate level, and mentoring students, in the subject areas described above. Candidates are expected to teach courses in both the Department of Brain and Cognitive Sciences and educational programs of SCC.
We request that applications include: (a) curriculum vitae, (b) research statement, (c) a teaching and mentoring plan, (d) broader impact statement, (e) up to five representative reprints and (f) three recommendations. The broader impact statement can cover topics including but not limited to service, contributions to the university community, or other means of supporting the educational environment. BCS and its partners value rigorous and replicable science. Applicants are encouraged to describe how these values are reflected in their work to date and their future research plans. Please submit online applications to https://academicjobsonline.org/ajo/jobs/28085. To receive full consideration, completed applications must be submitted by midnight (EST) on November 15, 2024.
MIT is an equal employment opportunity employer. We value diversity and strongly encourage applications from individuals from all identities and backgrounds. All qualified applicants will receive equitable consideration for employment based on their experience and qualifications, and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, pregnancy, religion, disability, age, genetic information, veteran status, or national or ethnic origin. See MIT’s full policy on nondiscrimination at https://policies.mit.edu/policies-procedures/90-relations-and-responsibilities-within-mit-community/93-nondiscrimination. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
