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Carlos L. Bassani

3 months ago

PhD in Computational Nanomaterials and Nanocrystal Growth at University of Exeter University of Exeter in United Kingdom

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Funded by the ERC Starting Grant kineticSHAPES. For eligible students, the studentship covers Home/International tuition fees plus an annual tax-free stipend of at least £21,805 per year for 4 years full-time, or pro rata for part-time study.

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Molecular Dynamics
Python Programming
Materials Engineering
Monte Carlo Simulation
Density Functional Theory
Physics

About this position

University of Exeter is inviting applications for 2 PhD studentships in Computational Nanomaterials under the ERC Starting Grant kineticSHAPES: Kinetic Pathways to Control Nanocrystal Shapes.

The project focuses on the non-equilibrium growth of nanocrystals and how crystal lattice effects and solution concentration fields influence morphological features such as twinning, branching, and chirality. The research is strongly computational and will involve developing and using a kinetic Monte Carlo simulation framework in C++, with additional methods such as Python post-processing, molecular dynamics, density functional theory, and lattice Boltzmann simulations. Results will be validated through collaboration with experimentalists.

The studentship is based in the Department of Engineering, Faculty of Environment, Science and Economy, at the Streatham Campus in Exeter. Supervisors listed are Dr Carlos Lange Bassani and Prof. Ana Neves.

Funding for eligible students includes Home/International tuition fees plus an annual tax-free stipend of at least £21,805 for 4 years full-time (or pro rata for part-time study).

Applicants should have, or be about to obtain, a First or Upper Second Class UK Honours degree or equivalent in Chemical Engineering, Materials Engineering, Physics, Chemistry, or a related area. An interest in mathematics and physical sciences is essential; programming experience in C/C++ and Python is desirable. Non-native English speakers must meet the university's English language requirements.

The application deadline is 31 July 2026. Interviews will be held virtually in August 2026. To apply, use the university's application portal, upload the required documents, and quote reference 5896. Project-specific questions can be sent to [email protected]; general application queries go to [email protected].

Funding details

Funded by the ERC Starting Grant kineticSHAPES. For eligible students, the studentship covers Home/International tuition fees plus an annual tax-free stipend of at least £21,805 per year for 4 years full-time, or pro rata for part-time study.

What's required

Applicants must have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree or equivalent in Chemical or Materials Engineering, Physics, Chemistry, or a related area. An interest in mathematics and physical sciences is essential. Experience in simulation and computer programming (C/C++, Python) is desirable, as is a background in chemical-physics, particle-based simulation methods, or statistical thermodynamics. Non-native English speakers must meet the university's English language requirements and provide proof of proficiency. Applicants should also be able to work collaboratively, communicate well in multicultural environments, show pro-activity, and be detail-oriented.

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Professors

Prof.

University Name
Country flag

United Kingdom

Research Interests

Materials Chemistry

Polymer Physics

Flexible Electronics

Nanoelectronic

Carbon Materials