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Matteo Salvalaglio

1 year ago

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

Degree Level

PhD

Field of study

Computer Science

Funding

The project will be supported by a EU grant, indicating funding is available. No details on stipend amount or tuition coverage are provided.

Deadline

Expired

Country flag

Country

United Kingdom

University

University College London

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Keywords

Computer Science
Machine Learning
Chemistry
Chemical Engineering
Computational Chemistry
Surface Topography
Statistical Mechanics
Environment
Chemical Kinetics
Emulsification
Free Energy
Physics

About this position

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.

Funding details

The project will be supported by a EU grant, indicating funding is available. No details on stipend amount or tuition coverage are provided.

What's required

Applicants should have a strong interest in computational applied physical chemistry. Background in chemical engineering, chemistry, physics, or related fields is preferred. Experience or interest in statistical mechanics and machine learning is desirable. Candidates should be eligible to start a PhD in January 2026. No specific GPA, language, or other requirements are mentioned.

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Professors

Professor of Molecular Systems Engineering

University Name
Country flag

United Kingdom

Research Interests

Condensed Matter Physics

Materials Chemistry

Crystallization

Molecular Dynamics

Statistical Mechanics