Research Assistant (m/f/d) in materials informatics with the possibility of a doctorate TV-L E13, 100%

About the Project & Group The Kuenneth Group (Computational Materials Sciences) is seeking a Graduate Researcher / PhD Candidate (m/f/d) to join the ERC Starting Grant project on generative polymer informatics (genPI).

Your Responsibilities 

• Creating strategies for the exploration of polymer space
• Developing and integrating Large Language Models specifically for polymer science
• Handling data extraction, curation, and organization to support machine learning models
• Conducting independent research in a dynamic and innovative environment

Your Profile

• An above-average master's degree in Engineering, Computer Science, Natural Sciences, or related fields
• Strong programming proficiency in Python is required
• Knowledge in polymer science
• You possess curiosity towards materials and data science, along with creativity and independence
• Motivation and proactivity, with strong communication skills in English or German

What We Offer

• A full-time position paid according to TV-L E13 standards for up to 3.5 years
• Flexible working hours with the option to work from home within the framework of the applicable service agreement
• The opportunity to pursue a doctoral degree (PhD) while accessing a wide range of industrial and international contacts
• A pleasant working atmosphere in a friendly, open-minded team with social events

The University of Bayreuth appreciates the diversity of its employees as an enrichment and is expressly committed to the goal of gender equality. Women are strongly encouraged to apply. Applicants with children are very welcome. The University of Bayreuth is a member of the Best Practice Club "Familie in der Hochschule e.V." and has successfully participated in the HRK audit "Internationalization of the University". Persons with severe disabilities will be given preferential consideration if equally qualified.

Please apply online with meaningful application documents using the key word “GenP12025” via our Application Portal of the University of Bayreuth. 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)