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Michigan State University
5 days ago
Postdoctoral Scholar in Nuclear Theory, Dense Nuclear Matter, Transport Models, and AI/ML Michigan State University in United States
Degree Level
Postdoc
Field of study
Artificial Intelligence
Funding
Available
Country
United States
University
Michigan State University
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About this position
Michigan State University is seeking a Postdoctoral Scholar to join its Nuclear Theory Group in East Lansing, United States. The research focuses on developing and applying microscopic transport models and modern statistical and artificial intelligence/machine learning methods to constrain the properties of dense nuclear matter using heavy-ion collision data.
The postdoctoral researcher will develop and improve microscopic transport approaches, particularly the SMASH transport model, for studies of dense nuclear matter at energies relevant to programs including FRIB, STAR FXT, HADES, and CBM. The work connects nuclear theory and computational physics with experimental measurements from low- and intermediate-energy heavy-ion collisions.
A major component of the project involves advanced computational and statistical analysis. The researcher will apply Bayesian inference, parameter estimation, uncertainty-aware modeling, surrogate methods, and AI/ML techniques to improve transport simulations, accelerate computational workflows, and extract nuclear matter properties through quantitative comparisons with experimental data.
The scholar will participate actively in group research, contribute to publications and presentations at conferences and workshops, and mentor graduate and undergraduate students. The research environment combines nuclear theory, scientific programming, computational modeling, data analysis, and collaboration with experimental programs.
Funding details
Available
What's required
Applicants must hold a PhD in Nuclear Physics or a related field, or anticipate completing the PhD by Summer 2027. At least one year of demonstrated research experience is required in microscopic transport simulations, Bayesian or statistical inference for computationally intensive dynamical models, or AI/ML methods in computational science. Applicants must demonstrate independent and original research through refereed publications or conference proceedings, strong written and oral communication skills, and the ability to work with export-controlled technologies. Desired qualifications include experience with the SMASH or other microscopic transport models, dense nuclear matter and low- to intermediate-energy heavy-ion physics, Bayesian parameter estimation, uncertainty quantification, surrogate modeling, machine learning for physical simulations or scientific data analysis, and student mentoring. Application materials include a CV with complete publication and presentation lists, contact information for at least three references, a cover letter, and a research statement addressing past experience and future research.
How to apply
Submit the CV, contact information for at least three references, a cover letter, and a research statement through the Michigan State University careers application portal. The research statement must include at least one page on prior experience and at least half a page on possible future work.
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