Postdoc (f/m/d) Institute of Meteorology and Climate Research Atmospheric Environmental Research (IMKIFU) - generative AI methods

Karlsruhe Institute of Technology (KIT) – The University in the Helmholtz Association In close partnership with society, KIT develops solutions for challenges – from climate change, energy transition and sustainable use of natural resources to artificial intelligence, balancing and an aging population. As The University in the Helmholtz Association, KIT unites scientific from insight to application-driven research under one roof – and is thus in a unique position to drive this transformation. As a University of Excellence, KIT offers its more than 10,000 employees and 22,800 students outstanding opportunities to shape a sustainable and resilient future. KIT – Science for Impact. We are looking for the Institute of Meteorology and Climate Research Atmospheric Environmental Research (IMKIFU) for February 1, 2026, limited up to 1,5 years (full-time) or 2 years (part-time 75 %), for a Postdoc (f/m/d) with focus on generative AI methods for reconstructing and nowcasting of atmospheric fields – part-time (75 %) or full-time

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). In addition, 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. Your main tasks will be to: Conceptualize and do initial setup of the 3D representation model Develop to encoder-based data attenuation and a diffusion-based probabilistic sampling Coordinate joint model development with the project partners Summarize, present and publication the project results

You have a PhD degree in the field of Artificial Intelligence or the against field of Machine Learning, ideally in the context of meteorology or associated fields. Specifically, you have: strong skills in developing and training deep neural networks, ideally using pytorch expertise with handling large datasets and machine learning workflows basic knowledge of meteorology and remote sensing So you want to have a good command of written and spoken English.

of staff of the only German University of Excellence that conducts large-scale research on the national level. Work under excellent working conditions in an international environment and be active in research and academic education for our future. Benefit from specific training when starting your job and from a wide range of further qualification offers. Use our flexible working time models (flexitime, work from home). Salary category 13 TV-L, depending on the fulfillment of professional and personal requirements. .