University of Bayreuth
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PhD Candidate in AI-Driven Computational Materials Science for Sustainable Polymers University of Bayreuth in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Country
Germany
University
University of Bayreuth
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About this position
The Kuenneth Research Group at the University of Bayreuth is seeking a curious and motivated PhD candidate in computational materials science.
The doctoral researcher will join an EU Horizon Europe project focused on using artificial intelligence to design sustainable polymeric materials for electronics and packaging. The work combines data curation, machine learning, large language models, and autonomous AI agents for polymer research, with direct links to experimental workflows.
The position is particularly suited to candidates interested in Python, polymer science, materials science, materials informatics, and the transformation of complex or unstructured data into useful computational models. The successful candidate will have the opportunity to pursue a doctorate, work flexibly, and join a creative, international research environment at the University of Bayreuth.
Interested applicants should consult the full University of Bayreuth Kuenneth Group job advertisement and follow its application instructions.
Funding details
Available
What's required
Applicants should be curious and motivated PhD candidates with interest or experience in computational materials science, polymer and materials science, Python, data curation, and machine learning. The post does not specify a required degree, GPA, language test, or other formal eligibility criteria.
How to apply
Review the full job advertisement through the provided link and follow the University of Bayreuth application instructions for the Kuenneth Group position.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.