The Midwest Integrated Center for Computational Materials (http://miccom-center.org/) at Argonne National Laboratory and the University of Chicago has an immediate postdoctoral opening in the use of machine learning in electronic structure calculations and advanced sampling. The postdoctoral researcher will work within the groups of Professor Giulia Galli (https://galligroup.uchicago.edu/) and Dr Maria Chan (https://www.anl.gov/profile/maria-k-chan) on developing and applying algorithms and software for the use of machine learning techniques to accelerate the computation of electronic structure properties and experimentally-informed advanced sampling.
Questions should be directed to mchan@anl.gov. Please note that only applications through the Argonne website will be considered.
Postdoctoral appointments are on a one-year basis, with a maximum term of three years, subject to performance evaluation.
MICCoM is a US Department of Energy funded computational materials science software center, involving highly collaborative research to advance computational prediction of materials properties. Argonne National Laboratory offers excellent compensation and benefit packages, and postdoctoral researchers receive extensive career development guidance.
Position Requirements
Applicants should have expertise in some of the following:
Interested candidates should include with their Workday application:
1. A detailed curriculum vitae including a list of publications and the names and email addresses of three professional references
2. A cover letter, including
3. Expected start date
4. USA citizenship/visa/work eligibility status (if known)
5. One representative publication that best showcases your work
Job Family
Postdoctoral Family
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
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