The Kuenneth Group (Computational Materials Sciences) is looking for a research assistant / PhD student for an EU Horizon Europe research project on the use of AI for the design of sustainable polymer materials for electronics and packaging.
Your tasks
- Managing the extraction, curation, and structuring of data to support the training of machine learning models.
- Development and implementation of machine learning models, large language models (LLMs) and autonomous AI agents specifically tailored to polymer research.
- Merging machine learning and experimental workflows
- Conducting autonomous research in a dynamic and creative scientific environment
Table of Content
Summary
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Benefits
- A full-time position (TV-L E13, for up to 3.5 years)
- Flexible working hours with the option to work from home within the framework of the applicable company agreement
- Opportunity to pursue a PhD and access to a wide range of industrial and international contacts
- A pleasant working atmosphere with social events
Requirements
- Above-average Master's degree in engineering, computer science, natural sciences or related fields
- Strong programming skills in Python are required.
- Knowledge of polymer and materials science
- Curiosity for materials and data science, as well as creativity and independence.
- Motivation and proactivity, with good communication skills in English or German
Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship
Application Deadline
Not SpecifiedHow To Apply
Please submit your complete application documents online via the application portal of the University of Bayreuth.
- Application password: “MI2026”
For more information, kindly visit the University of Bayreuth webpage.
