Publisher
source

Jarvist Moore Frost

Top university

5 months ago

Chemistry Imperial College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

not provided

Deadline

Expired

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Country

United Kingdom

University

Imperial College London

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Keywords

Computer Science
Chemistry
Biology
Computational Chemistry
Quantum Mechanics
Antimicrobial Peptide
Machine learning

About this position

Jarvist Moore Frost, Royal Society University Research Fellow and Lecturer in the Department of Chemistry at Imperial College London, is recruiting PhD students for a start date after January 2026. The research focuses on two main areas: designing antimicrobial peptides using machine learning and computational chemistry approaches, and developing machine learning surrogate quantum mechanical models, particularly tight-binding and PPP methods. The opportunity is ideal for candidates interested in interdisciplinary research at the intersection of chemistry, biology, and computer science.

Applicants should have a strong background in chemistry, physics, computer science, or related fields, and an interest in computational methods and machine learning. Funding details are not specified in the announcement. Interested candidates are encouraged to contact Jarvist Moore Frost directly via email, as LinkedIn messages may not be checked regularly. Further information may be available at the provided link.

The application window is open for a start date after January 2026.

What's required

Applicants should have or expect to obtain a strong undergraduate or master's degree in Chemistry, Physics, Computer Science, or a related field. Experience or interest in machine learning, computational chemistry, or quantum mechanical modeling is desirable. Strong analytical and programming skills are preferred. No specific GPA or language requirements mentioned.

How to apply

Send an email to the supervisor expressing your interest and background. Do not use LinkedIn for initial contact. Review the linked page for further details. Prepare relevant documents such as CV and transcripts.

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