Apply now for a fully funded PhD position in computational physical chemistry at UCL Chemical Engineering, starting January 2026. Join a cutting-edge EU-funded project combining statistical mechanics and machine learning.
📢 Exciting PhD Opportunity at UCL Chemical Engineering – Start Date: January 2026
The Department of Chemical Engineering at University College London (UCL) is actively seeking a motivated and ambitious PhD student to join a pioneering research group under the supervision of Prof. Matteo Salvalaglio. This opportunity is ideal for candidates interested in computational applied physical chemistry, with a focus on the development of advanced computational methods.
🧪 Project Overview:
This PhD project will delve into the development of enhanced sampling and free energy methods aimed at modeling computational kinetics in complex environments such as liquids and surfaces. The research is rooted in statistical mechanics and incorporates modern machine learning techniques to accelerate simulations and extract meaningful physical insights from high-dimensional data.
🌍 Funding & Collaboration:
The position is part of a larger EU-funded collaborative research initiative, offering access to a vibrant international scientific network and world-class resources at UCL.
🔍 Ideal Candidate Profile:
- Strong background in physical chemistry, chemical engineering, or computational sciences.
- Interest in molecular simulations, thermodynamics, or machine learning.
- Enthusiastic about research and collaborative work.
📬 Contact & Application Guidance:
If you are interested or know someone who may be, please reach out for further details on the application process:
📍 Contact:
Prof. Matteo Salvalaglio
Department of Chemical Engineering, UCL
📧 Email: m.salvalaglio@ucl.ac.uk
📞 Phone: +44 (0)20 7679 3716
📍 Room 210b, Roberts Building, Torrington Place, London WC1E 7JE
🔗 Group Website
🧠 Explore, Innovate, and Contribute to Groundbreaking Research at UCL – Apply Now!
