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University College London

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PhD Studentship in Molecular Crystal Polymorphism, Statistical Mechanics, Molecular Simulation, and Machine Learning University College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 31, 2026

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Country

United Kingdom

University

University College London

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Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Mathematics
Molecular Dynamics
Statistical Mechanics
Physics
Machine learning

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About this position

University College London (Department of Chemical Engineering) is advertising a fully funded PhD studentship on molecular crystal polymorphism, combining statistical mechanics, molecular simulation, and machine learning.

The project focuses on predicting and controlling crystal form selection in molecular crystals, with applications in pharmaceutical solids and advanced molecular materials. Research directions include advanced free-energy methods, machine-learning potentials, generative models, and graph/neural-network approaches for discovering collective variables and rare-event dynamics.

The successful student will gain experience in molecular dynamics, enhanced sampling, free-energy calculations, statistical thermodynamics, machine learning, and scientific computing, working at the interface of chemical engineering, chemistry, materials science, physics, and computer science.

Applicants should have, or expect to obtain, a first-class or upper second-class degree (or equivalent) in Chemical Engineering, Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related discipline. Strong quantitative and analytical skills are important, and experience in molecular simulation, thermodynamics, Python, data analysis, or applied mathematics would be advantageous.

The studentship is funded at the UK/Home fee rate and is primarily intended for UK/Home fee-status applicants. Outstanding international applicants may be considered if additional funding becomes available. Funding includes a stipend of about £23,805 per year plus UK fees, for up to four years.

The project is based in London, United Kingdom, at UCL. The deadline shown on the listing is 31 July 2026, and the start date is October 2026.

To apply, use the UCL eVision application portal, nominate Prof. Matteo Salvalaglio as supervisor, and include a statement of interest. Informal enquiries can be sent to [email protected].

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.

More information can be found here

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