The University of Wuppertal is a modern, dynamic and research-oriented campus university with interdisciplinary profile lines in research and teaching. Together, more than 26,000 researchers, teachers and students tackle challenges in society, culture, education, economics, technology, nature and the environment.
In the Faculty of Electrical Engineering, Information Technology and Media Technology,
at the Institute for Technologies and Management of Digital Transformation
(Research assistant (doctoral candidate) in the field of Large Language Models
Part-time is possible, please indicate in your application whether you would also or only be interested in part-time employment)
We are an interdisciplinary team that deals with technical, individual and social perspectives on digital transformation. Together with our research and application partners, we drive innovation and change. In the Semantic Systems Engineering research area, we focus on researching approaches and algorithms that enable both humans and technical systems to seamlessly collect, integrate, find, understand and process structured, semi-structured and unstructured data from different data silos and software systems. In our research focus on knowledge-enhanced language models, we are investigating in particular how large language models can be used to improve the quality of answers through the targeted use of additional knowledge bases in the form of vector databases, knowledge graphs, etc.
Very good written and spoken German and English skills
The call for applications is aimed at university graduates interested in a doctorate in the field of knowledge-enhanced large language models.

Creating, optimizing and testing input prompts (prompt engineering) for language models to increase their accuracy and efficiency
Planning, implementation and evaluation of experiments to evaluate the language models
Applications (with cover letter, CV, proof of successful completion of studies, references, proof of severe disability as a PDF file if applicable) can only be submitted via the online portal of the University of Wuppertal: