Job no: 507851
Work type: Faculty Full Time
University of Massachusetts Dartmouth
Assistant Professor – Physics Department
The University of Massachusetts Dartmouth invites applications for a tenure-track faculty position at the Assistant Professor level beginning in September 2022. We seek an expert in scientific computing with a strong record of research in the area of general relativity including gravitational wave astrophysics (theory, data analysis, or source modeling), computational relativity, or computational relativistic astrophysics. We seek candidates from any area that complements or diversifies the research strengths of UMass Dartmouth’s computational relativity and astrophysics research groups and our Center for Scientific Computing and Visualization Research (http://cscvr1.umassd.edu/groups.html), whose research groups include applied and computational mathematics, computational physics, computational fluid mechanics, and scientific machine learning. Successful candidates will become part of a world-class research group in the broad area of computational relativistic and gravitational astrophysics. The home department for this position will be determined in consultation with the successful candidate based on the candidate’s interests and best fit.
The University of Massachusetts Dartmouth is located in the beautiful ocean side community of Dartmouth, about an hour south of Boston, half-hour east of Providence, and half-hour west of Cape Cod. It offers a world-class education to more than 8,500 undergraduate and graduate students each year in nearly 60 undergraduate and 50 graduate (MS & PhD) programs offered by the College of Engineering, College of Nursing, Charlton College of Business, College of Arts and Sciences, College of Visual and Performing Arts, School of Law and School for Marine Science and Technology. In addition, UMass Dartmouth offers an impressive array of computational facilities including a recently installed GPU-accelerated local cluster, a large regional cluster shared with other UMass campuses and multiple other resources through the Massachusetts Green High-Performance Computing Consortium (https://mghpcc.org). The successful candidate will also benefit from existing collaborations with multiple research groups in New England universities.
The University of Massachusetts Dartmouth has transformed the lives of more than 50,000 alumni and distinguishes itself as a vibrant, public research university dedicated to engaged learning and innovative research. It is the only Massachusetts Tier 1 national research university south of Boston and serves as a catalyst for the development of marine science and technology industries along the south coast.
Duties: The successful candidate will be expected to develop a nationally recognized, externally funded research program; teach and advise undergraduate and graduate (MS & PhD) students; contribute to university and professional service; foster interdisciplinary collaborations; and engage in college and university diversity, equity and inclusion initiatives.
Minimum Qualifications: Candidates must have a doctorate in physics, mathematics, computational science/engineering, or a related field at the time of appointment, and demonstrate a strong commitment to teaching excellence and scholarly research as well as diversity, equity and inclusion.
Preferred Qualifications: Strong candidates will have significant research experience in scientific computing and a subfield of general relativity that complements and diversifies existing research activities at UMass Dartmouth. Postdoctoral research experience is highly desirable. We are especially interested in receiving qualified applications from scholars historically underrepresented in science, mathematics and engineering, veterans, and persons with disabilities.
Application Process: Qualified applicants are invited to submit electronically a letter of interest, detailed curriculum vitae, concise statements on teaching philosophy and research plans, and contact information for at least three professional references. Employment is contingent upon verification of background/credentials and work authorization.
Screening of complete applications will begin on September 15, 2021 and will continue until the position is filled.
Advertised: 01 Jul 2021 Eastern Daylight Time