A fully funded 3.5-year PhD position is available at the School of Chemistry, University of Birmingham, in the Computational Carbon Chemistry group led by Prof. Ganna (Anya) Gryn’ova. The position is part of the ERC Starting Grant “PATTERNCHEM,” focusing on the shape and topology descriptors of chemical and physical properties in functional organic materials. The project involves interdisciplinary research, including machine learning, quantum chemistry, and materials simulations. Summary Table:
Position:
PhD Studentship in Computational Materials Chemistry and Machine Learning Study Area:
Computational Materials Chemistry and Machine Learning Scholarship Description:
Fully funded 3.5-year PhD position under the ERC Starting Grant “PATTERNCHEM” Eligibility:
First or upper second (2.1) honors degree (or equivalent) in chemistry, physics, materials science, or related discipline Required Documents: Cover letter (1 page max.) indicating the earliest starting date Full curriculum vitae (CV) Transcript listing courses taken and grades received Contact details of two referees How to Apply:
Interested applicants should send the required documents as a single PDF attachment via email to Prof. Ganna (Anya) Gryn’ova at g.grynova@bham.ac.uk. Last Date:
Applications will be accepted until 1 March 2024, but the position will be filled as soon as an appropriate candidate is found.
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