This image shows Miriam Klopotek

Miriam Klopotek


Many-Body Simulations and Machine Learning
Independent Junior Research Group Leader
[Photo: (c) Miriam Klopotek]


Universitätsstraße 32
70569 Stuttgart
Room: 211

Office Hours

Upon consultation


  • Statistical-physical model systems
  • Non-equilibrium many-body dynamics
  • Monte Carlo methods
  • Machine learning: self-supervised and generative methods, spatio-temporal prediction
  • Interpretation of machine learning with physics
  • Physics-based machine learning
  • Combinations of machine learning and many-body simulations
  • Since 04/2022: Independent Junior Research Group Leader at the Cluster of Excellence SimTech, University of Stuttgart
  • 2021–2022:  Early Career Group Leader at the Machine Learning Cluster of Excellence, Eberhard Karl University of Tübingen
  • 2021–present: Associated faculty of IMPRS-IS (Tübingen/Stuttgart)
  • 2021: Dr. rer. nat. in Physics from Eberhard Karl University of Tübingen, Thesis: "Hard Rods on Lattices between Two and Three Dimensions: Nonequilibrium, Equilibrium, and Machine Learning"
  • 2014–2020: Doctoral researcher in the group of Prof. Dr. Martin Oettel, Institute for Applied Physics, University of Tübingen
  • 2014: M.Sc. in Physics, Eberhard Karl University of Tübingen
  • 2009–2015: R&D scientist/engineer in medical devices (opthamology), Germany
  • 2009: B.Sc. in Physics, Humboldt University of Berlin

Twitter: @miriamklk

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