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Matteo Salvalaglio

3 months ago

Fully Funded PhD in Molecular Simulations, Crystal Polymorphism and Crystallisation at UCL University College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD. Funding includes full UK/Home tuition fees and a tax-free stipend at the standard London UKRI rate.

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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
Crystallization
Nucleation
Phase Transition
Physics

About this position

Coming soon: a fully funded PhD opportunity at University College London in Chemical Engineering, hosted by Professor Matteo Salvalaglio (Molecular Systems Engineering).

The project focuses on the development and application of computational methods to understand and predict the behaviour of molecular crystals. Research topics include molecular simulations, molecular dynamics, statistical mechanics, statistical thermodynamics, free energy calculations, crystal polymorphism, phase transitions, nucleation, crystallisation, and machine learning for molecular modelling.

The work sits at the interface of chemical engineering, physics, chemistry, materials science, and computational modelling, with applications relevant to the pharmaceutical and materials industries. The aim is to improve the prediction and control of crystal form stability and transformation.

Funding is fully provided, including full UK/Home tuition fees and a tax-free stipend at the standard London UKRI rate.

Eligible applicants are encouraged to have backgrounds in Chemical Engineering, Physics, Chemistry, Materials Science, Mathematics, or related disciplines. The official advertisement will be released shortly, and prospective candidates may contact the supervisor informally by email in advance.

Funding details

Fully funded PhD. Funding includes full UK/Home tuition fees and a tax-free stipend at the standard London UKRI rate.

What's required

Applicants with backgrounds in Chemical Engineering, Physics, Chemistry, Materials Science, Mathematics, or related disciplines are encouraged to apply. The post is aimed at candidates interested in molecular simulations, statistical mechanics, computational methods, and molecular modelling.

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