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A leading research center in Germany is seeking to support research on generative AI methods focusing on the 3D-GAIN project. This role involves conceptualizing 3D representation models, developing data synchronization methods, and coordinating with partners. Ideal candidates will engage in innovative research to enhance atmospheric retrieval and nowcasting using AI. The position offers opportunities for collaboration and publication in a dynamic research environment.
Area of research: Other
Starting date: 17.12.2025
We are seeking you to support our research on generative AI methods. You will mainly focus on the project 3D-GAIN (Realistic 3D Atmospheric Reconstruction for Generative AI Nowcasting of Precipitation and Irradiance using Remote Sensing and In-Situ Data). Additionally, your work will be embedded into the ongoing research on AI-based downscaling of rainfall fields in the newly established research group Hydrometeorological Sensing and Machine Learning at the KIT Campus Alpin.
The overarching goal of the project 3D-GAIN is to develop novel AI methods for generative 3D reconstruction of local atmospheric conditions to enhance the retrieval and nowcasting of rainfall and irradiance. This generative reconstruction will be based on multi-modal observations (satellite imagery, radar measurements, all-sky cameras, and in-situ sensors) and leverage a unified, physically consistent 3D representation of atmospheric conditions.
The project work in 3D-GAIN will be carried out in cooperation with the project partners at the DLR Institute of Solar Research and Energy Meteorology located in Almeria, Spain.
This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.