PhD Studentship in Computational Chemistry: 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.
PhD Studentship in Computational Materials Chemistry and Machine Learning
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, CV, transcript, contact details of two referees |
| How to Apply | Send a single PDF attachment via email to Prof. Ganna (Anya) Gryn’ova (g.grynova@bham.ac.uk) |
| Last Date | Applications accepted until 1 March 2024 or until an appropriate candidate is found |
Study Area: Computational Materials Chemistry and Machine Learning
Scholarship Description: The PhD position, under the ERC Starting Grant “PATTERNCHEM,” focuses on exploring the shape and topology descriptors of chemical and physical properties in functional organic materials. The interdisciplinary research project involves machine learning, quantum chemistry, multiscale materials simulations, and interpretable machine learning to build an adaptable framework for modeling interactions of multifaceted functional organic materials.
Eligibility: Successful candidates should have or expect to soon receive a first or upper second (2.1) honors degree (or equivalent) at a Bachelor’s or Master’s level in chemistry, physics, materials science, or a related discipline. Desirable qualifications include experience in theoretical/computational chemistry, numerical simulations, materials science, and/or data science, along with programming skills.
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.
