Postdoctoral positions in computational galaxy formation - Michigan State University

Applications are invited for two research associate (postdoctoral) positions in computational galaxy formation at Michigan State University. Position #1 will work in conjunction with Professors Mark Voit and Brian O’Shea to study the link between the properties of massive galaxies and stellar and AGN feedback, as mediated by the circumgalactic medium. Position #2 will work in conjunction with Professor Brian O’Shea and the FOGGIE collaboration to study galaxy formation using the Enzo-E code.

Responsibilities of position #1 include research in theoretical galaxy formation, and developing, running, and analyzing simulations using the Athena++ code. Responsibilities of position #2 include research in theoretical galaxy formation with the FOGGIE collaboration, and participating in Enzo-E code development in support of this research. Both positions offer opportunities to mentor undergraduate students in related projects and to participate in professional development activities such as teaching, grant-writing, and public outreach. Travel and research funds will be available, as will computing time on MSU’s High Performance Computing Center, NSF XSEDE and NASA resources, and the Frontera supercomputer at TACC.

Applicants should submit a CV, cover letter, and a statement of research interests to careers.msu.edu (posting 746498). Specify in your cover letter which position (or both) you are interested in. Also provide names and email addresses of three (3) individuals from whom letters of recommendation can be requested.

Review of applications will begin on January 15, 2022, continuing until the position is filled. The starting date is negotiable; candidates available by no later than Summer 2022 are preferred. Direct questions about position #1 to Prof. Mark Voit at [email protected] and about position #2 to Prof. Brian O’Shea at [email protected].

MSU is an affirmative-action, equal-opportunity employer and is committed to achieving excellence through diversity.