MIT Media Lab
Program in Media Arts and Sciences and MIT Schwarzman College of Computing
The Program in Media Arts and Sciences (MAS) and the MIT Schwarzman College of Computing (SCC) at the Massachusetts Institute of Technology (MIT) Cambridge, Massachusetts invite applications for a faculty position in the area of “Artificial Intelligence (AI) and Human Experience.” We welcome outstanding applicants with research and teaching interests who have demonstrated innovation in AI algorithm and tool development together with excellence in evaluating and shaping human experience using AI systems. Human experience research is expected to include the objective measurement of social-emotional data during human-computer interaction, the design and evaluation of AI algorithms that adapt to individuals for improving both human experience and performance of the AI methods, as well as addressing of related ethics and alignment aspects. MAS and SCC believe 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 MIT is inclusive, equitable, and diverse.
The successful candidate will have a shared appointment in both MAS and also SCC, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS). Faculty duties will include classroom teaching in topics related to AI and Human Experience, conducting original scholarly research, supervising and mentoring students, and playing an active role in shaping the academic work and cultures of both the MAS and SCC research communities. Candidates are expected to teach in both MAS and SCC-relevant curricula, which include both graduate and undergraduate classes.
The appointment will be at the assistant or untenured associate professor level.
Candidates should have a strong record of research, a willingness to take risks, a desire to look beyond traditional disciplines, and a dedication to making a difference in the world. Applicants should hold a doctoral degree in media arts and sciences, computer science, electrical engineering, a field related to AI and the Human Experience or a related field by the start of employment, and should have a track record of authoring or co-authoring peer-reviewed publications in AI and human experience at the time of application.
To apply, please fill out the application at https://apply.interfolio.com/113820. Applications must include a cover letter, curriculum vitae, a research statement (2-4 pages) and a teaching statement (1-2 pages). In addition, candidates should provide a statement regarding their views on diversity, inclusion, and belonging, including past and current contributions as well as their vision and plans for the future in these areas. Each application should include the names and addresses of three or more individuals who will provide letters of recommendation. Letter writers should submit their letters directly to MIT, preferably via the application website or by mailing to the address below. Complete applications should be received by November 15, 2022. Applications will be considered complete only when both the applicant materials and at least three letters of recommendation are received.
It is the responsibility of the candidate to arrange reference letters to be uploaded to Interfolio by November 15, 2022.
Send all materials not submitted on the website to:
Program in Media Arts and Sciences Search Committee, Massachusetts Institute of Technology
Review of applications will begin immediately.
Search deadline extended to December 8 for candidate materials. All supporting letters must be received in the Interfolio portal by December 15. Applications are being reviewed on a rolling basis.
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on Nondiscrimination can be found here.