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Tristan Bereau

2 months ago

Fully funded PhD in generative machine learning for molecular thin films Heidelberg University in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position for three years at 75% E13 TV-L.

Country flag

Country

Germany

University

Heidelberg University

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Keywords

Computer Science
Machine Learning
Chemistry
Materials Science
Mathematics
Molecular Dynamics
Statistical Mechanics
Generative Modeling
Free Energy
Physics

About this position

PhD opportunity in generative machine learning for molecular thin films at the Institute for Theoretical Physics, Heidelberg University, in the group of Prof. Tristan Bereau, with a joint collaboration with Prof. Ullrich Köthe.

The project focuses on developing generative machine-learning methods for amorphous molecular thin films, which are important supramolecular structures for organic-electronic materials. The research combines statistical mechanics, molecular simulation, and deep generative modeling, with an emphasis on diffusion models, coarse-grained representations, and free-energy estimation.

The successful candidate should have a strong background in statistical mechanics, experience in machine learning and/or molecular simulation, and strong Python and PyTorch skills. A genuine interest in method development and comfort with mathematical formalism are important. A physics degree is required for admission to the Heidelberg Graduate School for Physics.

The position is fully funded for three years at 75% E13 TV-L. There is no application deadline; applications are reviewed on a rolling basis until the position is filled.

To apply, send a CV, a short statement of interest, and the names of two referees to [email protected].

Funding details

Fully funded PhD position for three years at 75% E13 TV-L.

What's required

Solid grounding in statistical mechanics; experience with machine learning and/or molecular simulation; strong Python and PyTorch skills; genuine interest in method development and comfort with mathematical formalism; a degree in physics is required for admission to the Heidelberg Graduate School for Physics.

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Professors

Prof. at Heidelberg University

University Name
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Germany

Research Interests

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Prof. at Heidelberg University

University Name
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Germany

Research Interests

Machine Learning

Materials Science

Physics

Chemistry

Statistical Mechanics