Position ID: | WUSTL-Physics Department-POSTDOC [#22879] |
Position Title: | Postdoctoral position in ab-initio nuclear theory at Washington University in St. Louis |
Position Type: | Postdoctoral |
Position Location: | Saint Louis, Missouri 63130, United States [map] ![]() |
Subject Area: | Physics / Nuclear Theory |
Appl Deadline: | (offers accepted posted 2022/09/21, listed until 2023/03/20) |
Position Description: |
The Quantum Monte Carlo group in the Physics Department at Washington University in St. Louis is anticipating an opening for a postdoctoral position on nuclear many-body theory starting in Fall 2023 (dates are flexible). The successful candidate will be working with Profs. Piarulli and Pastore, and collaborators. The group research interests cover a broad range of topics, including nuclear structure, electroweak
structure and reactions, neutrinoless double beta decay, electron and neutrino scattering off light- to medium-mass nuclei, and infinite nucleonic matter. Further information on our group and its research activities can be found at: https://physics.wustl.edu/quantum-monte-carlo-group Applicants are expected to have a Ph.D. in nuclear theory or a closely related field by the beginning of the postdoctoral appointment. Experience in high-performance computing and/or Bayesian methods
and/or reaction theory and/or machine-learning methods is preferred. The appointment will be for two years (renewal for a third year is probable, but is contingent on funding availability). Interested candidates should submit an application that includes:
Please apply at AJO. Questions regarding the position should be addressed to Prof. Piarulli (mpiarulli@physics.wustl.edu). Our selection process will start immediately and proceed till the position is filled. Washington University encourages and gives full consideration to all applicants for admission, financial aid, and employment. The university does not discriminate in access to, or treatment or employment in, its programs and activities on the basis of race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, veteran status, disability or genetic information.
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