Position ID: | LBNLPhysics-Physics-COMPPOSTDOC [#20165, 93908] |
Position Title: | Postdoctoral Fellow (Computational) |
Position Type: | Postdoctoral |
Position Location: | Berkeley, California 94720, United States [map] |
Subject Areas: | Physics / surrogate models, simulation-based inference, Cosmology, High Energy Physics, Machine Learning |
Appl Deadline: | 2021/11/30 11:59PM finished (2021/10/20, finished 2022/06/04, listed until 2021/11/30) |
Position Description: |
Lawrence Berkeley National Lab’s (LBNL) Physics Division has an opening for a computational Postdoctoral Fellow position in Machine Learning for Particle Physics and Cosmology. In this exciting role, you will work with the Physics Division Machine Learning group in developing and deploying methods for optimally combining physics models and simulations with neural networks in order to perform optimal, high-dimensional inference. The development involves both computational and domain-specific multidisciplinary work, including collaborations with scientists in other LBNL divisions and other institutions. Our current and planned work includes developing normalizing flows to replace Markov Chain Monte Carlo for Uncertainty Quantification, and for high-dimensional integration (for Bayesian evidence and scattering matrix element calculations). We are also exploring other surrogate models for likelihood-free/simulation-based inference including innovative tools from probabilistic programming. The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on November 30, 2021. What You Will Do:
Additional Responsibilities as needed:
What is Required:
Desired Qualifications:
How To Apply:
For inquiries please contact Kelly Rushing (). For full consideration, please apply by close of business on November 30, 2021, but the position will remain open until filled. The following requested application materials listed below must be submitted through Academic Jobs Online:
Notes:
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