Publisher
source

Matteo Salvalaglio

8 months 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

Full funding available

Deadline

December 31, 2026
Country flag

Country

United Kingdom

University

University College London

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Official Email

[email protected]

Keywords

Computer Science
Chemistry
Chemical Engineering
Computational Chemistry
Surface Topography
Statistical Mechanics
Environment
Chemical Kinetics
Emulsification
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

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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