🚨 PhD Position in Machine Learning for Orbital-Free Density Functional Theory 🚨

📍 Heidelberg University, Germany

The Institute for Theoretical Physics (ITP) and the Interdisciplinary Center for Scientific Computing (IWR) invite applications for a PhD position in physics, focusing on orbital-free density functional theory (OF-DFT) using machine-learned functionals.

🔬 Research Focus:
Orbital-free density functional theory offers computational accuracy comparable to coupled-cluster methods but at significantly lower computational cost. Currently, precise density functionals are limited, especially for open-shell systems. This project will implement and extend an existing codebase using machine learning techniques to develop high-quality functionals for open-shell systems.

👩‍💻 Candidate Profile:
- Background in Physics, Chemistry, or Computer Science
- Familiarity with condensed matter physics or theoretical chemistry
- Strong programming skills (Python, C, and Torch preferred)
- Motivation for collaborative, interdisciplinary research

👥 Supervisors:
- Prof. Maurits W. Haverkort (ITP)
- Prof. Fred Hamprecht (IWR)

📧 Apply by: April 30, 2025
Send applications to:
👉 m.w.haverkort@thphys.uni-heidelberg.de

Don't miss this exciting research opportunity!

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