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  • Tenure-track position at the Assistant or un-tenured Associate Professor level
    Massachusetts Institute of Technology and The Broad Institute of MIT and Harvard

    The Broad Institute (Cambridge, MA) and the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (Cambridge, Massachusetts) seek applicants for a tenure-track position at the Assistant or un-tenured Associate Professor level, effective July 1, 2023, or as soon as possible thereafterRank will be determined based on qualifications and experience. 

    We welcome outstanding applicants with research and teaching interests in any area of machine learning, artificial intelligence and/or statistics that could drive the frontier of biomedical research at any scale (proteins, cells, tissues or organisms). The successful candidate will be a faculty member in the Department of EECS at MIT and a Broad Core Institute Member.

    We believe that the intellectual, cultural and social diversity of our faculty, staff, and students is vitally important to the distinction and excellence of our academic and research programs. We seek candidates who support our institutional commitment to ensuring that the Broad Institute and MIT are inclusive, equitable, and diverse.

    Successful applicants are expected to share our commitment to undergraduate and graduate education by teaching courses and supervising graduate and undergraduate research, as well as develop and lead a vibrant, independent research program that would benefit from being in the Broad Institute environment.  

    Candidates are expected to have had formal graduate training and research focus in the computational sciences (e.g., as evidenced by their publication record), and hold a PhD (or equivalent terminal degree) in the field of computer or mathematical sciences, engineering (biological, chemical, etc.), or a related field by the start of employment.

    Complete applications should be received by January 1, 2023. Applications include a cover letter, curriculum vitae, research statement (2-4 pages), and teaching statement (1-2 pages).  In addition, candidates should provide a statement on diversity, inclusion, and belonging, including past and current contributions as well as their vision and plans for the future in these areas (1-2 pages). Application materials should be submitted to

    Completed application review will begin after January 1, 2023.



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