Yale – Assistant Professor, Computational Mechatronics
Yale University: Faculty of Arts and Sciences (SEAS): Mechanical Engineering & Materials Sciences
New Haven, CT
Oct 31, 2019
YALE UNIVERSITY NON-TENURED, TENURE-TRACK FACULTY OPENING
The Department of Mechanical Engineering and Materials Science at Yale University invites applications for a non-tenured, tenure-track faculty position anticipated to begin July 1, 2020. Candidates should strengthen the department’s research activities in the field of mechatronics and robotics with a special focus on interfacing with artificial intelligence, machine learning, and/or mathematical modeling of mechanical systems. Subfields of interest include, e.g., medical robotics and devices, mechanisms and design, human-machine interaction and haptics, or dynamic systems and controls.
Candidates must have a Ph.D. or equivalent degree in a relevant discipline, and an outstanding record of research that demonstrates originality in addressing significant questions in the field. We expect the successful candidate to establish a dynamic research group, be an interactive member of the faculty, participate in interdisciplinary research and training, and excel in regular graduate and undergraduate teaching of the mechanical engineering curriculum. Applicants should create a profile at http://apply.interfolio.com/70504 and upload a statement of research plans, teaching plans (including a list of courses that they are qualified to teach), curriculum vitae, and up to three reprints of published work(s). Applicants should also arrange for three references to upload their letters of recommendation.
For further information, contact Mary MacNicholl at firstname.lastname@example.org or P.O. Box 208284, New Haven, CT 06520-8284. The review of applications will begin on December 10, 2019 and continue until the position has been filled. Yale University is an affirmative action, equal opportunity employer. Yale values diversity among its faculty, students, and staff and strongly encourages applications from women, members of minority groups, protected veterans, and persons with disabilities.