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 Eutopia PhD Co-tutelle Call
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.
