Join us!
We are always looking for motivated, independent, and skilled scientists to join our group to pursue new and exciting research. As part of the TCP group, researchers should have ample opportunity to exchange ideas, transfer knowledge, and to pick up new expertise.
Applications for funding can be made via Marie Curie Fellowships, Humboldt Fellowships for German Citizens, European Research Council grants, and Luxembourg National Research Fund grants (FNR) [Individual PhD grants, CORE Jr., ATTRACT, etc.].
Applications for PhD studies and postdoctoral positions are accepted from qualified candidates at any time.
Research Areas:
- Multiscale Modelling: Combining first principles, coarse graining, and mathematical approaches to bring quantum mechanical level of accuracy from the atomistic scale to micro-scale systems. This involves developing mathematical approaches and code that can tackle large and complex systems efficiently.
- Machine Learning in Chemical Physics: Machine learning of global molecular potential-energy surfaces and gaining physical and chemical insights from machine-learned potentials. The main goal is to understand and extend current machine learning approaches and to be able to go beyond their "black box" nature.
- Non-covalent Interactions: Understanding and developing a framework for accurately capturing non-covalent interactions. In particular, we are looking to expand our expertise on peculiar non-covalent effects in confinement, charged environments, optically-excited states, and van der Waals/Casimir physics in large systems.
- Statistical Mechanics in Physics and Chemistry: Development and application of improved path integral methods for quantum nuclear effects.
