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. Examples of human experience research of interest include the design and evaluation of AI algorithms that adapt to individuals for improving both human experience and performance of the AI methods, the study of social, cultural, emotional and other outcomes of human-AI interaction, as well as the study of 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 appointment will be at the assistant or untenured associate professor level.
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 undergraduate and graduate courses 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. Candidate’s teaching load will be split between 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 either media arts and sciences, computer science, electrical engineering, or a field related to AI and the Human Experience 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/135521). Applications must include a cover letter, curriculum vitae, a research statement (2-4 pages) and a teaching/mentoring statement (1-2 pages). In addition, candidates should provide a statement regarding approaches to fostering an inclusive environment such as in research, teaching, mentoring, community engagement, or affirming diverse points of view. 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 December 31, 2023.
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 December 31, 2023.
Send all materials not submitted on the website to:
Program in Media Arts and Sciences Search Committee, Massachusetts Institute of Technology c/o search@media.mit.edu
Review of applications will begin immediately.
Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
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.