I'm currently a physics postdoc at MIT doing research into applications of machine learning to problems in computational quantum field theory. My position ends in August/September and I'm looking for an industry job in Europe (I'm a German citizen). Ideally I'd like to keep applying my expertise in probabilistic modeling, Monte Carlo simulation, and numerical optimization to interesting engineering or data science problems. Experience includes distributed training and inference of generative ML models on large HPC clusters with ~20k GPUs, as well as developing scientific software for statistical inference. Proficiency in python programming (primarily with packages such as pytorch, scipy, scikit-learn) and some basic knowledge of other languages.
Remote: Yes
Willing to relocate: within central Europe
Résumé/CV: https://lettucefield.org/resume.pdf
Email: [email protected]
Homepage: https://lettucefield.org/
GitHub: https://github.com/julian-urban
I'm currently a physics postdoc at MIT doing research into applications of machine learning to problems in computational quantum field theory. My position ends in August/September and I'm looking for an industry job in Europe (I'm a German citizen). Ideally I'd like to keep applying my expertise in probabilistic modeling, Monte Carlo simulation, and numerical optimization to interesting engineering or data science problems. Experience includes distributed training and inference of generative ML models on large HPC clusters with ~20k GPUs, as well as developing scientific software for statistical inference. Proficiency in python programming (primarily with packages such as pytorch, scipy, scikit-learn) and some basic knowledge of other languages.