Dr. Marius Lemm

Professor

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Biography

Marius Lemm is a researcher in Mathematical Physics at the University of Tübingen, having transitioned to this role in 2021 following a position as Assistant Professor at École polytechnique fédérale de Lausanne. He earned his Ph.D. in 2017 from the California Institute of Technology under the supervision of Rupert L. Frank. His postdoctoral experience includes fellowships at Harvard University and the Institute for Advanced Study in Princeton, where he worked with prominent mentors including Horng-Tzer Yau and Wilhelm Schlag. His research primarily involves developing mathematical analysis tools applicable to problems in quantum physics, particularly focusing on topics such as Quantum Many-Body Systems, Random Elliptic Partial Differential Equations, and Random Matrices, using methods from calculus of variations, ergodic theory, harmonic analysis, and spectral theory. Marius actively collaborates in interdisciplinary projects and coordinates an international M.Sc. program in Mathematical Physics at Tübingen. He is supported by various grants including an ERC Starting Grant and a DFG Collaborative Research Center, highlighting his contribution to advancing research in the mathematical foundations of quantum systems.

Research Interests

Experience

Professor

2021-01-01 — Present

University of Tübingen • Tübingen, Germany

Researcher in Mathematical Physics.

Assistant Professor

2019-01-01 — 2021-01-01

École polytechnique fédérale de Lausanne • Lausanne, Switzerland

Teaching and research in Mathematics.

Requirements for University of Tübingen

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Overall
Required:6.5
TOEFL
Total
Required:79
GRE General
Prerequisites
Bachelor's degree in Computer Science or equivalent Strong background in mathematics and coding
Application Checklist
  • Transcript of records
  • Degree certificate
  • CV
  • Proof of English proficiency
  • GRE scores (optional for non-EU)
Specialization Notes

Focus on Autonomous Vision, Machine Learning, and Computer Vision.