Postdoctoral Research Associate | Wissenschaftliche/-r Mitarbeiter/-in (m/w/d/x)
Universität Leipzig
Job Summary
This full-time research position at the University of Leipzig is part of the Horizon Europe project 'OASIS', focusing on Earth Intelligence and AI-powered water solutions. As a key member of the Environmental Data Science and Remote Sensing group, you will conduct high-level research at the intersection of natural language processing and environmental data. Your daily responsibilities will include implementing Model Context Protocol (MCP) servers, developing chat interfaces for environmental data analysis, and coordinating with 16 international project partners to build AI agents that support EU policy-making. This role is particularly attractive for researchers looking to apply cutting-edge Large Language Model (LLM) technologies to critical global challenges like climate change and biodiversity. The position offers a modern working environment with flexible hours, mobile work options, and access to high-performance computing resources within a vibrant international network.
Required Skills
Education
Completed university degree and a PhD in Computer Science, Remote Sensing, Data Science, Ecology, Environmental Sciences, Geography, Hydrology, or a related field.
Experience
- Professional experience in environmental data science, remote sensing, or computer science
- Experience in international research consortiums and collaboration with stakeholders from industry or policy sectors
- Proven track record in programming (Python or R) demonstrated through projects or open-source contributions
- Experience in developing natural language interfaces or working with LLMs is highly desirable
- Experience in managing technical project partners and coordinating software implementation tasks
Languages
Additional
- The position is fixed-term until April 30, 2030. Applicants must submit their documents by March 31, 2026, referencing code 39/2026. The role is based in Leipzig with options for mobile work.
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