The successful candidate will analyze cosmological simulations and stellar catalogs with focus on Gaia and LSST, to better understand the local dynamics of the Milky Way and deduce properties of dark matter. The postdoctoral researcher might also run cosmological simulations, and use machine learning methods to extract information from available data sets. They will have substantial freedom to suggest and work on projects related to stellar dynamics and dark matter. Applicants must have a PhD in physics, astrophysics, or a closely related field by the start of the position. Expertise in data analysis and computing are required. The successful applicant must have the ability to carry out an independent research program, and work collaboratively with students and other members of the MKI community. Experience with cosmological simulations and/or stellar catalogs as well as machine learning is preferred but not required.

Applicants are asked to submit a cover letter, curriculum vitae, and brief statement of research interests (maximum 3 pages) and experience via AJO. Please also arrange for three letters of recommendation to be submitted through AJO. Women and under-represented groups are extremely encouraged to apply.

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on Nondiscrimination can be found here. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.