Applications are invited for a post-doctoral research position at the University of Massachusetts, Amherst. The successful applicant will work with Prof. Daniela Calzetti on the investigation of star formation in external galaxies, with the specific goal of establishing the role and impact of star clusters. The project is based on several Hubble Space Telescope programs, and uses both HST and ground-based imaging. It requires, in part, collaboration with the Department of Computer Sciences to develop and test Machine Learning algorithms to search and identify star clusters in galaxy images. Previous experience in the analysis of HST data is desirable, but not necessary. The successful candidate will be able to spend a fraction of their time on independent research projects. The initial appointment is for one year. Renewal for a second and third year is subject to performance and availability of funds.
The appointment is expected to start on or before Sept. 1, 2019, and requires the completion of a PhD in Astronomy, Physics, or related field. Applications must be submitted online at https://secure.dc4.pageuppeople.com/apply/822/gateway/Default.aspx?c=app...
Please include a curriculum vitae (including publication list), a summary of past research accomplishments (3 pages limit) and current research interests (1-3 pages). Applicants should also provide three professional letters of reference with their application and should apply by the priority deadline of January 15, 2019 in order to ensure full consideration.
UMass Amherst is committed to a policy of equal opportunity without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, or genetic information in employment, admission to and participation in academic programs, activities, and services. It is the policy of the UMass Amherst to comply with the applicable federal and state statutes, rules, and regulations concerning equal opportunity and affirmative action.