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Imperial College London

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Developing Charge-Aware Machine Learning Potentials for Electrochemical Applications Imperial College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

United Kingdom

University

Imperial College London

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Keywords

Computer Science
Chemistry
Materials Science
Artificial Intelligence
Electrochemistry
Computational Chemistry
Computational Physics
Density Functional Theory
Kinetic
Dft
Thermodynamic
Physics

About this position

This PhD project at Imperial College London's Department of Materials focuses on developing charge-aware machine learning interatomic potentials (MLIPs) for electrochemical applications. MLIPs have revolutionized materials modeling by offering near-DFT accuracy at a fraction of the computational cost, enabling simulations over larger time and spatial scales. However, current MLIPs are limited in their ability to capture long-range electrostatic interactions, which are crucial for modeling electrochemical reactions at surfaces and interfaces.

The aim of this research is to create an MLIP model that explicitly controls electrochemical potential and charge state, establishing a robust modeling framework for predicting the thermodynamics and kinetics of electrocatalytic surfaces under controlled electrode potential. The project will provide comprehensive training in electrochemistry, atomistic modeling, high-throughput calculations, and machine learning for materials science.

Applicants should have experience with density functional theory (DFT) calculations and machine learning. A background in computational chemistry, physical chemistry, or computational physics is highly desirable. The studentship covers UK home tuition fees, and international students are welcome to apply if they can self-fund the remainder of their tuition. The application deadline is March 31, 2026.

To apply, submit your application via the Imperial College London website. For further information or informal inquiries, you may contact Dr. Jing Yang.

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.

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