Postdoctoral Position (m/f/d) in materials informatics TV-L E13, 100%

About the Project & Group: The Kuenneth Group (Computational Materials Sciences) at the University of Bayreuth is seeking a Postdoctoral Researcher for the ERC Starting Grant project on generative polymer informatics (genPI).

Your Responsibilities 

• Build and evaluate retrieval-augmented generation systems that connect large language models with chemical knowledge.
• Develop agentic AI workflows to support polymer design.
• Extract, curate, and organize polymer and synthesis data, ensuring data quality, traceability, and reproducible research workflows.
• Conduct independent research, publish results, and collaborate with interdisciplinary partners.

Your Profile

• A PhD in polymer science, chemistry, materials science, computer science, or a related field.
• Knowledge of polymer chemistry and polymer structure–property relationships.
• Strong Python programming skills and practical experience applying machine learning or AI methods to scientific problems.
• Familiarity with LLMs and RAG concepts; experience in building RAG systems is an advantage.
• Knowledge of agentic AI, including tool use and multi-step workflows, is desirable.
• An independent, creative, and proactive approach to research, with strong communication and collaboration skills in English or German.

What We Offer

• A full-time position paid according to TV-L E13 standards
• Flexibility in working hours with the option to work from home
• A pleasant working atmosphere with social events

The University of Bayreuth is a member of the Best Practice Club "Familie in der Hochschule e.V.". We strongly encourage women to apply and welcome applicants with children. Persons with severe disabilities will be given preferential consideration if equally qualified.

Please submit your meaningful application documents online via the application portal of the University of Bayreuth (https://www.uni-bayreuth.de/en/job-vacancies).

• Required Password: You must use the password "GenP12027" in your application

The documents will be deleted after the position has been filled in accordance with data protection requirements.

For further inquiries please contact:  Prof. Christopher Künneth (apply.mi@uni-bayreuth.de)