Postdoctoral Researcher in Data Science - Focus on Data Heterogeneity | Postdoktorand (m/w/d) in Data Science - Schwerpunkt Datenheterogenität
Universitätsklinikum Augsburg AdöR
Job Summary
This role involves active participation in ongoing statistical and Machine Learning projects at the Institute for Digital Medicine, with a specific focus on the interaction between federated Machine Learning and data heterogeneity. The Postdoctoral Researcher will contribute to innovative AI projects in cardiology and intensive care medicine, developing, implementing, and evaluating modern AI methods for clinical data analysis, including LLM-based systems (such as Retrieval-Augmented Generation). Key responsibilities also include preparing and publishing scientific results in international journals and conferences, and contributing methodologically to the acquisition of third-party funding. Candidates must hold a PhD in a relevant field (e.g., Medical Informatics, Data Science), possess strong knowledge of statistics and ML, and have programming proficiency in Python. This is an exciting opportunity for interdisciplinary scientific work at the intersection of medicine and computer science within an innovative research institute.
Required Skills
Education
Doctorate (PhD) in Medical Informatics, Statistics, Data Science, Artificial Intelligence, Computer Science, or a related field
Experience
- Completed doctoral degree (Promotion) in Medical Informatics, Data Science, AI, or a related field
- Fundamental knowledge in statistics and Machine Learning
- Experience in the analysis and processing of clinical data
- Experience in the conception and implementation of LLM-based systems (e.g., RAG or agent-based approaches)
- Experience with common ML and LLM frameworks
Languages
Additional
- Fixed-term contract until the end of 2026; Must provide proof of sufficient vaccination or immunity against measles (Masernschutzgesetz).
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