Summary:
The University of Birmingham is offering a fully funded, 3.5-year PhD position in Computational Materials Chemistry and Machine Learning. This opportunity is under the supervision of Prof. Ganna (Anya) Gryn’ova in the Computational Carbon Chemistry group. The position is ideal for individuals interested in the intersection of computational materials science and chemical machine learning, particularly in the development and application of simulation workflows and machine learning representations for functional organic materials.
PhD Studentship in Computational Materials Chemistry and Machine Learning, UK
Designation: PhD Student
Research Area: Computational Materials Chemistry, Chemical Machine Learning
Location: School of Chemistry, University of Birmingham, United Kingdom
Eligibility/Qualification:
- A first or upper second-class honours degree (or equivalent) in Chemistry, Physics, Materials Science, Computer Science, or a related discipline.
- Experience in theoretical/computational chemistry, numerical simulations, materials science, and/or data science is desirable.
- Applicants must have or expect to receive their degree before the start of the position.
Job Description:
- Research will focus on the design and analysis of topologically complex organic molecules, with a special emphasis on graphene-based materials, covalent-organic frameworks, and hyperbranched polymers.
- The project will involve constructing multiscale simulation workflows and developing novel machine learning representations for functional materials.
- Candidates will be trained in simulation techniques and chemical machine learning.
- The PhD will provide opportunities to work in a collaborative, multidisciplinary environment, equipping candidates with transferrable skills for both academia and industry.
Funding:
- The studentship includes a tax-free annual stipend and fees at the UK home rate.
- Additional funding will cover research, training, and conference attendance.
- Applicants who are not eligible for UK home fee status must secure external funding to cover international fees.
How to Apply:
Please submit the following documents in a single PDF attachment via email to Prof. Ganna (Anya) Gryn’ova (g.grynova@bham.ac.uk):
- Cover letter (1 page max.) indicating your earliest starting date
- Full Curriculum Vitae (CV)
- Transcript listing courses and grades
- Contact details of two referees
Last Date for Apply: 13 April 2026 (early applications encouraged, position filled as soon as an appropriate candidate is found).
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