Postdoctoral Position in Machine Learning, Statistics and Astrophysics

The McWilliams Center invites applications for postdoctoral positions in the Department of Physics, Carnegie Mellon University at the interface between Machine Learning, Statistics, and Astrophysics. Applicants should have experience and strong interest in astrophysics as well as experience and/or strong interest in statistics and/or machine learning, and will work with faculty, postdocs, and students in multiple departments applying methods from machine learning and statistics to problems in cosmology.

Successful applicants are expected to carry out research in collaboration with Carnegie Mellon faculty, postdoctoral fellows and students in the McWilliams Center for Cosmology (website http://www.cmu.edu/cosmology). The McWilliams Center synergizes research in the Carnegie Mellon Departments of Physics, Computer Science and Statistics, and benefits as well from the nearby Pittsburgh Supercomputing Center and the University of Pittsburgh Physics and Astronomy
Department. Carnegie Mellon is an institutional member of SDSS-IV and the LSST, and faculty participate in multiple other collaborations including ACT, DESI, Euclid, HSC, WFIRST, and the LSST Dark Energy Science Collaboration.

Appointments are for 2 years, with renewal for a third year likely, contingent upon satisfactory progress. We provide a competitive salary, research funds, and benefits.

The anticipated starting date is from spring to fall of 2017 (flexible). Candidates should submit a curriculum vitae, publication list, and statement of research plans, and arrange for three letters of recommendation to be sent to Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/7887

For full consideration, all materials should be received by Nov. 30, 2016.

We seek excellence in a respectful, inclusive University context.

Carnegie Mellon University is an Equal Opportunity/Affirmative Action Employer.