PhD Position in First-Principles Modeling, AI, and Materials Science for Clean Energy at University of Bayreuth University of Bayreuth in Germany

The CiucciLab at the Bavarian Center for Battery Technology (BayBatt), University of Bayreuth, is seeking a highly motivated PhD student for a project focused on first-principles modeling and AI-based simulations of protonic ceramic cells. This research is at the intersection of materials science, chemistry, physics, and computer science, targeting next-generation clean energy technologies such as solid-state energy and green hydrogen. The lab specializes in electrode design for electrochemical energy systems, with a strong emphasis on innovative materials and device development using density functional theory (DFT) and advanced computational methods.

Applicants should hold an M.Sc. in materials science, physics, chemistry, or engineering, and demonstrate a strong academic record. Prior research experience in computational materials science or related areas is required, with publications considered an advantage. Excellent English communication skills are essential for this international, interdisciplinary environment.

The position is fully funded for three years, with a preferred start date of 1 February 2026. The successful candidate will join a leading institute in energy materials, benefiting from a collaborative and dynamic research setting. The CiucciLab is recognized for its work in solid-state and quasi-solid-state technologies, and offers access to state-of-the-art facilities and expertise in both experimental and computational approaches.

To apply, candidates should submit a cover letter and CV to Prof. Francesco Ciucci at [email protected] and [email protected]. For more information about the group and research topics, visit the CiucciLab website. This opportunity is ideal for candidates passionate about computational modeling, AI, and sustainable energy materials.