Fully Funded PhD in Computational Materials Science, Chemistry, and AI at University of Birmingham
The Gryn'ova Computational Carbon Chemistry Group at the University of Birmingham is offering a fully funded PhD position in the exciting field of computational chemistry, materials science, and artificial intelligence. This opportunity is ideal for students interested in the intersection of computational materials science and chemical machine learning, with research topics spanning innovative approaches in chemistry, materials science, and AI-driven discovery. The position is fully funded for 3.5 years, providing a tax-free annual stipend and covering tuition fees at the UK home rate.
Applicants should have a strong academic background in chemistry, materials science, computer science, or related disciplines, and experience with computational methods, machine learning, or chemical modeling is highly desirable. The group encourages applications from candidates with interests in computational chemistry, machine learning in science, and advanced materials research, including perovskites, DFT, and optoelectronics. The application deadline is April 13, 2026.
To apply, interested candidates should contact Ganna Gryn'ova with a complete academic CV to discuss the opportunity and potential external funding options. The group also highlights several external fellowships and scholarships for both PhD and postdoctoral researchers, such as the Marie Skłodowska‑Curie Actions Individual Fellowship, Newton International Fellowship, AXA Post‑Doctoral Fellowship, and EPSRC Postdoctoral Fellowship. Additional funding opportunities are available for female PhD students and those with financial need.
For more information and application instructions, visit the group website. This is an excellent opportunity for motivated researchers to join a leading group at the University of Birmingham and contribute to cutting-edge research at the interface of chemistry, materials science, and artificial intelligence.
