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University of Bayreuth

PhD Candidate in Materials Informatics and Polymer AI at University of Bayreuth University of Bayreuth in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Germany

University

University of Bayreuth

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Keywords

Computer Science
Data Science
Chemical Engineering
Materials Science
Artificial Intelligence
Physics
Large Language Models
Computational Materials Science
Polymer Science
Machine learning

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About this position

Graduate Researcher / PhD Candidate (m/f/d) in materials informatics at the University of Bayreuth, working with the Kuenneth Group (Computational Materials Sciences) on an EU Horizon Europe project. The project focuses on using AI to design sustainable polymeric materials for electronics and packaging.

The role combines polymer science, materials science, computer science, and machine learning. Responsibilities include data extraction, curation, and structuring for model training; building and implementing machine learning models, large language models (LLMs), and autonomous AI agents; connecting ML frameworks with experimental workflows; and conducting autonomous research in a creative scientific environment.

Applicants should have an above-average master's degree in Engineering, Computer Science, Natural Sciences, or a related field. Strong Python programming skills are required, along with knowledge of polymer and materials science. The group also looks for curiosity, creativity, independence, motivation, proactivity, and strong communication skills in English or German.

This is a full-time position paid according to TV-L E13 standards for up to 3.5 years. The post offers the opportunity to pursue a doctoral degree (PhD), flexible working hours, and the option to work from home within the applicable service agreement. The university also highlights a supportive working atmosphere and social events.

How to apply: submit your application documents online via the University of Bayreuth application portal. Use the password MI2026. For further inquiries, contact Prof. Christopher Künneth at apply.mi@uni-bayreuth.de.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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