Doctoral Researcher in Large Language Models | Doktorand/in im Bereich Large Language Models (26008)
Bergische Universität Wuppertal
Job Summary
This position is ideal for a university graduate interested in pursuing a PhD focused on knowledge-augmented Large Language Models (LLMs) within the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal. The role involves the design, development, and implementation of advanced algorithms for knowledge-enhanced LLMs, focusing heavily on Prompt and Context Engineering to boost model accuracy and efficiency. Key responsibilities include adapting and fine-tuning existing LLMs for specific applications, developing Retrieval-Augmented Generation (RAG) pipelines using external knowledge sources (like vector databases and knowledge graphs), and conducting rigorous experiments to evaluate model performance. The successful candidate will also present scientific findings at conferences and actively advance their personal and scientific qualifications within an interdisciplinary research team dedicated to digital transformation and semantic systems engineering.
Required Skills
Education
Master's degree or equivalent in Computer Science, Engineering (Mechanical, Electrical), Physics, Mathematics, Computational Linguistics, or comparable fields
Experience
- Completed university degree (Master's or equivalent) in a relevant field
- Interest in pursuing a doctoral degree in knowledge-augmented LLMs
- Demonstrated enthusiasm for programming (reflected in CV)
- Professional experience in analytical and structured work methods
Languages
Additional
- The position is a qualification position intended to promote a doctoral procedure (PhD). The contract is temporary, initially for up to 3 years.
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