Developing enhanced sampling/free energy methods for computational kinetics UCL Chemical Engineering in United Kingdom

A PhD position is available in the Department of Chemical Engineering at University College London, supervised by Professor Matteo Salvalaglio. The research will focus on computational applied physical chemistry, specifically developing enhanced sampling and free energy methods for computational kinetics in complex environments such as liquids and surfaces.

The project will integrate statistical mechanics and machine learning approaches and is supported by a European Union grant, forming part of a broader collaborative effort. Candidates should have a strong interest in computational chemistry, physical chemistry, and related fields, with experience or enthusiasm for statistical mechanics and machine learning. The position is set to begin in January 2026. Interested applicants are encouraged to contact Professor Salvalaglio for further details and guidance on the application process.

More information about the group and contact details can be found at https://mme-ucl.github.io/contact. Funding is provided by the EU grant, but specific financial details are not disclosed. The official advertisement will be released soon, and candidates should monitor the provided links for updates.