The Department of Mechanical Engineering and Materials Science (MEMS) at the University of Pittsburgh (Pitt) invites applications for a tenure ­track position in Artificial Intelligence and Machine Learning with a mechanical engineering focus. Successful applicants should have the ability to build an externally funded research program, as well as contribute to the teaching mission of the MEMS Department. Applicants should have a PhD or ScD in Mechanical Engineering or a related field. Applicants with outstanding track records at the associate professor and full professor levels are also encouraged to apply, but the focus will be at the assistant professor level.

Expertise is particularly sought in one or more of the following areas: dynamic systems and control, motion and manipulation, soft robotics, "digital twins", decision making and problem solving, algorithm and system design, learning, big data and analysis, Internet of Things, and Industry 4.0. We are seeking candidates who have strong interdisciplinary interests and who can collaborate across engineering disciplines. Candidates who focus on theoretical underpinnings of AI and algorithm development are encouraged to apply but will be expected to explain how their research addresses engineering applications.

The MEMS Department currently has 32 tenured or tenure-track faculty members who generate over $11.5 million in annual research expenditures. The Department maintains cutting-edge experimental and computational facilities in its five core research competencies: advanced manufacturing and design; materials for extreme conditions, biomechanics and medical technologies; modeling and simulation; energy system technologies; and quantitative and in situ materials characterization.

The successful candidate for this position will benefit from the resources, support, and a multidisciplinary research environment fostered by many interdisciplinary centers including the University of Pittsburgh’s Center for Research Computing (http://www.crc.pitt.edu).

Qualified applicants should submit their applications for this posting in the Pitt Talent Center (join.pitt.edu) under “find positions” “faculty” using keyword 22009740.  The application should include the following materials in pdf form: a curriculum vitae, a statement of research and teaching plans, and name and contact information of at least three references. Review of applications will begin immediately and continue until the position is filled.

• EEO/AA Policy

  Candidates from groups traditionally underrepresented in engineering are strongly encouraged to apply. The candidate should be committed to high-quality teaching for a diverse student body and to assisting our Department in enhancing diversity. The Department of Mechanical Engineering and Materials Science fosters an inclusive academic teaching, learning, and research culture that supports the success of its diverse faculty and students. The University of Pittsburgh is an equal opportunity/affirmative action employer.