Publisher
source

Matteo Salvalaglio

6 months ago

Developing enhanced sampling / free energy methods for computational kinetics UCL (University College London) in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The project will be supported by a European Union grant, indicating external funding. Details on stipend, tuition coverage, or whether it is fully funded are not specified yet.

Deadline

Expired

Country flag

Country

United Kingdom

University

University College London

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Where to contact

Official Email

Keywords

Computer Science
Chemistry
Chemical Engineering
Computational Chemistry
Statistical Mechanics
Environment
Chemical Kinetics
Free Energy
Physics
Machine learning

About this position

Hi everyone,

I am looking for a PhD student interested in starting in January 2026 at UCL Chemical Engineering .

Ideally, candidates should be interested in computational applied physical chemistry. More in detail, the project will revolve around developing enhanced sampling / free energy methods for computational kinetics in complex environments (in liquids, at surfaces, ...), leveraging ideas that combine statistical mechanics and machine learning.

While the official ad will be out soon, I can anticipate that the project will be supported by a EU grant and will be part of a broader collaboration.

If you know anyone who could be potentially interested, please encourage them to get in touch with me, and I will be able to advise on the application process - contacts and details are available here: https://lnkd.in/eSGHH-Vz

Some more info on our group: https://mme-ucl.github.io/

Funding details

The project will be supported by a European Union grant, indicating external funding. Details on stipend, tuition coverage, or whether it is fully funded are not specified yet.

What's required

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

How to apply

Interested candidates should contact Matteo Salvalaglio for advice on the application process. Details and contacts are available at the provided group website. The official advertisement will be released soon.

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