*** this position has been closed, and no new applications is accepted. ***
The Department of Brain & Cognitive Sciences (BCS) (http://bcs.mit.edu), in collaboration with the McGovern Institute for Brain Research (MIBR), the Picower Institute for Learning and Memory (PILM), and the Schwarzman College of Computing (SCC) at MIT, are looking to hire multiple tenure-track faculty at the assistant professor level or higher. We strongly encourage applications from all areas, but we are particularly excited about candidates who work in the following area:
Computational approaches to understanding natural intelligence. We are interested in candidates that seek an understanding of natural intelligence by building artificially intelligent systems. We seek candidates with a diverse range of computational tools and methods, including (but not limited to) 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 seek to develop collaborations with neuroscientists and cognitive scientists are particularly encouraged to apply. This position will likely have an affiliation with the new MIT Schwarzman College of Computing (SCC).
Successful applicants are expected to develop and lead independent, internationally competitive research programs and to share in our commitment to excellence in undergraduate and graduate education by teaching courses and mentoring graduate and undergraduate students. PhD must be completed by start day of employment.
Please submit application materials – cover letter, CV, statement of research and teaching interests and representative reprints – online at https://academicjobsonline.org/ajo/jobs/14277. To help direct the application, applicants should indicate that the area listed above is their main research area by selecting from the drop-down list included in the application. In addition, please arrange to have three letters of recommendation submitted online. All application materials are due by midnight (EST) on January 1, 2020.
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, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.