Assistant Professor, Biological Engineering and Data Science, Machine Learning and AI

The Department of Biological Engineering (BE) and the Institute forData, Systems, and Society (IDSS) at the Massachusetts Institute of Technology in Cambridge, Massachusetts seek applicants fortenure-track faculty positions, effective July 1, 2027, or on amutually agreeable date thereafter. Appointment will be at the assistant professor level. In special cases, however, an untenuredassociate or senior faculty appointment may be possible,commensurate with experience.

We welcome outstanding applicants developing novel methods in statistics, data science, machine learning, and artificial intelligence to enable discovery and innovation in biological engineering. We are especially interested in candidates developingagentic systems for biological discovery, including those that integrate with physical AI.

The successful candidate will be a faculty member in the Department of Biological Engineering and a Core Member in IDSS. Successful applicants are expected to share our commitment to undergraduate and graduate education by teaching courses in Biological Engineering and related subjects at the undergraduate and graduate levels, advising students, conducting original scholarly research and developing course materials at the graduate and undergraduate levels.

Candidates are expected to have had formal graduate training and research focus in statistics, data science, machine learning or artificial intelligence (as evidenced by thesis/dissertation topicand their publication record), and hold a doctorate degree (PhD or equivalent) in the field of biological engineering, biology,statistics, computer science, mathematical sciences, biophysics,chemical engineering or a related field by the start of employment.

The pay range for a 9-month academic appointment at the entry-level

Assistant Professor rank (excluding summer salary): $143,000 -$147,000. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. This pay-range represents base pay only and does not include any other benefits or compensation. Employment is contingent upon the completion of a satisfactory background check,including possible verification of any findings of misconduct (orpending investigations) from prior employers.

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 thebasis of race, color, sex, sexual orientation, gender identity,pregnancy, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. See MIT's full policy on nondiscrimination https://policies.mit.edu/policies-procedures/90-relations-and-responsibilities-within-mit-community/92-nondiscrimination

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