We invite applications for a postdoctoral research associate position in theoretical and computational condensed matter physics. The successful candidate will conduct research on correlated and topological systems using state-of-the-art machine learning and electronic structure techniques. The primary focus of the project is to design and implement machine learning pipelines to efficiently investigate electron and spin systems. The position offers close collaboration with both theoretical and experimental groups within CMPMSD. This appointment is for two years, with the possibility of renewal for a third year depending on funding availability and research performance.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees