Scientist (f/m/d) - Automatic metadata extraction using LLMs, data analysis, and data visualization -
Scientific Computing Center (SCC)
The Scientific Computing Center
The Scientific Computing Center is the Information Technology Center of KIT.
The National Research Data Infrastructure (NFDI) aims to systematically catalogue and make accessible the data holdings of science and research, ensure their long-term preservation, and make them accessible. It is being established as an interconnected structure of consortia that act on their own initiative.
Within NFDI-MatWerk, a reliable digital platform for materials science and nanoscience is being developed, enabling the digital representation of materials data and specific metadata. Services for the easy storage, sharing, searching, and analysis of data and metadata are being developed and made available to researchers. Furthermore, data from scientific groups distributed throughout Germany should be accessible through a knowledge-graph-based infrastructure in such a way that fast and complex search queries and analyses become possible.
Your Tasks
In the “Data Exploitation Methods” department of the Scientific Computing Center (SCC), we develop innovative software solutions for the NFDI to make the handling of research data simple and user-friendly.
Within the framework of NFDI-MatWerk, you will work on the following topics:
- You will develop a tool for automatic metadata extraction and mapping, optimally tailored to the needs of researchers in the field of materials science.
- You will use LLMs to support semantic extraction from unstructured or semi-structured texts.
- You will design new methods and workflows to improve the analysis and visualization of large data collections.
- You will participate in teaching activities (supervision of students).
- You will publish at least one scientific article per year in academic journals and present your results at conferences.
Your Profile
You have:
- A completed university degree (Diplom (University)/Master’s) in STEM subjects (mathematics, computer science, natural sciences, and technology).
- Ideally, a completed PhD.
- Experience in software development and LLMs.
- Preferably, experience in the field of technical data and metadata management.
- Strategic, creative, and goal-oriented thinking skills that support your proactive way of working, which you bring to a team that works in the same way.
- Very good communication, presentation, and publication skills in English (spoken and written).
Curious about an exciting and versatile role in an agile team? Discover more about SCC as your professional place to be: https://www.scc.kit.edu/en/aboutus/working-at-scc.php
We Offer
Science for Impact
Engage with topics of societal relevance — in an excellent scientific environment that enables change.
Flexible Working Hours
Take advantage of flexible‑hours schemes, remote‑work options, and a 30‑day annual leave entitlement to achieve an optimal work‑life balance.
Career‑Building and Developmental Opportunities
We provide you with a structured onboarding program, a broad spectrum of continuing‑education options, and personalised support, thereby fostering your individual growth.
Family-friendliness
The “KIT‑Family +” program assists you in reconciling work and family life by offering childcare services, holiday activities, a parent‑child office space, and assistance with caring for relatives.
Stay Healthy
Under the motto “Fit at KIT – Body, Mind and Soul,” we promote your well‑being through fitness classes and mental‑health programmes.
Individualised Extra Benefits
Enjoy a corporate pension (VBL), a €25 monthly contribution toward a JobTicket BW, plus a broad selection of cultural and recreational programmes.
Job location
Eggenstein-Leopoldshafen (and Karlsruhe)
Salary
Salary category 13 TV-L; classification is based on personal and professional qualifications.
Contract duration
2028. 12. 31
Contact person in line-management
Dr. Rossella Aversa
rossella.aversa@kit.edu
+49 721 60828546
If you have general questions about the application process, please contact
Dominik Meschar
Personalservice (PSE)
dominik.meschar@kit.edu
+49 721 608-25029
At KIT we value the diversity of our employees; different perspectives and backgrounds enrich our work. We therefore welcome applications from all candidates. Women are especially encouraged to apply. Applications from recognized severely disabled individuals are given preferential consideration when qualifications are equal.
Application up to: 2026.11.27
Job posting number: 438/2026
