Overview
The position will entail work on a variety of cutting-edge research in time-domain astrophysics, including the development and implementation of machine learning, statistical and data-driven algorithms to study exotic transient phenomena. The successful candidate will lead and participate in studies of exotic extragalactic transients across the electromagnetic spectrum. Applicants with previous experience in ML or optical observations of transients are especially encouraged to apply.
The successful applicant will have access to Harvard resources including CfA-allocated observing time on the MMT in Arizona and the Magellan Telescopes in Chile, as well as the access to the Harvard Cannon compute cluster.
Applications must be submitted electronically and include a single PDF file containing a CV, publications list, and statement of research interests. In addition, please request three reference letters be sent to ashleyvillar@cfa.harvard.edu.
Applications received before February 1, 2024, will receive full consideration. All Harvard research appointments are one year term appointments with the possibility of renewal for a further two years, depending on performance and funding. The nominal starting date will be September 1, 2025, but an earlier or later start is negotiable.
Apply
Members of groups which are traditionally underrepresented in astrophysics are strongly encouraged to apply.
Commitment to Equity, Diversity, Inclusion and Belonging
Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and
values.
EEO Statement
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by
law.
Benefits:
Information regarding benefits may be found at https://hr.harvard.edu/files/humanresources/files/benesummpostdoc_0.pdf