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POSTDOCTORAL ASSOCIATE, Kavli Institute for Astrophysics and Space Research (MKI), to conduct research on the use of advanced statistical techniques such as machine learning in the study of exoplanets or stellar activity, under the direction of Professor Andrew Vanderburg, whose research group focuses on the detection and characterization of exoplanets using a wide range of observations and analysis techniques. Applicants who are interested in developing tools to automatically identify and classify transiting exoplanet signals, study exoplanet demographics from statistical surveys, and understand how stellar activity affects precise radial velocity measurements are especially encouraged to apply. Will perform independent research projects and collaborate with other researchers at MKI and other nearby institutions. Of particular note is MKI's leadership in the TESS project and working closely with the TESS mission team to help make and follow-up on new planet discoveries will be encouraged. MIT researchers have institutional access to the Magellan telescopes in Chile, which host a versatile optical and infrared instrument suite, including the Planet Finder Spectrograph designed for measuring precise stellar radial velocities. REQUIRED: Ph.D. in astronomy, astrophysics, or related field. PREFERRED: experience with either exoplanet detection or machine learning.
This is a three-year appointment.
In addition to applying online via the MIT website with a CV, publications list, and brief research statement of no more than three pages (in a single PDF), applicants are asked to submit those documents (PDF format strongly preferred) electronically to Ms. Thea Paneth at firstname.lastname@example.org. Application material should also include the names of two people who would be willing to provide letters of recommendation if requested during application review.
Application review will take place in two stages - a preliminary review beginning on December 1, 2021, that may result in an early offer, and a final, complete review beginning on February 10, 2022. All applications received by each of those dates will be considered.