PhD Candidate in Large Language Models | Doktorand/in im Bereich Large Language Models (26008)
Bergische Universität Wuppertal
Job Summary
This research-focused position at the University of Wuppertal offers a unique opportunity to pursue a doctorate within the Institute for Technologies and Management of Digital Transformation. As a PhD Candidate, you will lead the design, development, and implementation of algorithms for knowledge-augmented Large Language Models (LLMs). Your daily responsibilities will include prompt and context engineering, fine-tuning models for specific datasets, and developing Retrieval-Augmented Generation (RAG) pipelines to integrate external knowledge sources. You will evaluate your findings through structured experiments and present results at international scientific conferences. This role is ideal for graduates seeking to advance the field of Semantic Systems Engineering within a collaborative, interdisciplinary team. The position is attractive due to its flexible working hours, home office options, and a clear path toward obtaining a PhD while working on cutting-edge AI technology in a supportive academic environment.
Required Skills
Education
Master's degree or equivalent in Computer Science, Engineering (Mechanical or Electrical), Physics, Mathematics, Computational Linguistics, or a related field.
Experience
- Professional experience in programming as evidenced by a CV
- Experience in the field of Natural Language Processing and Large Language Models
- Experience in analytical and structured problem-solving
- Experience in scientific research or academic project work
Languages
Additional
- The position is limited to a duration of 3 years under the Academic Fixed-Term Contract Act (WissZeitVG). Full-time and part-time options are available. Applicants must submit a complete application including cover letter, CV, and degree certificates.
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