The Department of Astronomy at the University of Michigan invites applications for a postdoctoral position in observational astrophysics with Prof Lia Corrales regarding XRISM observations.
Our interdisciplinary research team is dedicated to investigating the role of stardust in cosmic evolution with high-resolution X-ray spectra. The postdoctoral researcher will be responsible for conducting forward modeling with high energy instrument simulation tools, collaborating on the development of interstellar dust extinction models, and analyzing and interpreting X-ray spectroscopic data.
Applicants must have a PhD in astronomy or a related field before the start date. Desired expertise includes: data science techniques, coding in open source, experience with multi-wavelength datasets, excellent data visualization skills.
This position is expected to be up to three years. As required by our institution, appointments are in one year increments with renewal contingent upon satisfactory performance and the availability of funding. Salary is commensurate with qualifications and experience, and includes a full benefits package.
To apply please go to http://apply.interfolio.com/137011 and submit the following material:
* A 1 pg cover letter that summarizes the candidate's experience
* CV, including publications
* Research interest statement (3 pages including figures, not including references)
* Names of three letter writers
All materials should be received by January 30 for full consideration; questions should be directed to Dr. Lia Corrales ([email protected]).
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer. We encourage applications from people holding any identity(ies) that have been traditionally underrepresented in the field of astronomy.
U-M Background Screening Statement
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.