Research Associate / PhD Student | Research Associate / PhD Student (m/f/x)
Technische Universität Dresden Arbeitsstätte Dresden
Job Summary
This position at the Center for Interdisciplinary Digital Sciences (CIDS) at TUD Dresden University of Technology offers a unique opportunity to contribute to the DFG-funded LLM-OCR-D project. As a Research Associate and PhD student, you will conduct foundational research in Natural Language Processing, Large Language Models, and Knowledge Graphs. Your daily work will involve developing robust, scalable solutions for the automated transformation of historical documents, integrating established OCR-D tools with innovative multimodal LLMs, and performing quality assurance. You will collaborate on national and international research projects, publish in top-tier venues, and support students. This role is highly attractive for those seeking to advance their academic career within a leading AI competence center, providing access to high-performance computing resources and a collaborative, interdisciplinary environment. Candidates should hold a relevant Master's degree and demonstrate strong programming and analytical skills.
Required Skills
Education
University degree (M.Sc. or equivalent) in Computer Science, Artificial Intelligence, Mathematics, Physics, Computational Linguistics, or a related field.
Experience
- Professional experience in research, demonstrated through previous publications, theses, or projects in relevant AI fields.
- Demonstrated experience in software development and deep learning frameworks.
- Experience in collaborating within research or academic environments.
Languages
Additional
- Full-time position, limited to 3 years. Must be eligible for academic employment under the WissZeitVG. Application requires submission of CV and supporting documents via the TUD SecureMail Portal.
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