We are seeking you to support our research on AI-based spatial reconstruction of urban green roof soil moisture. Your primary focus will be to transfer observed moisture dynamics from instrumented reference roofs to nearby, unsensed roofs using generative AI methods and complementary spatiotemporal interpolation techniques. The work is connected with the Helmholtz Water Security Initiative and contributes to the Helmholtz Solution Lab BlueGreen L.E.The overarching goal is to develop robust generative models that reconstruct soil moisture fields across networks of green roofs, accounting for various effects, such as microclimate, roof properties, or hydrological processes. The models will fuse multi-modal data (in-situ sensors, meteorological observations, urban morphology and roof metadata, and available remote sensing) to produce consistent, uncertainty-aware estimates suitable for operational water-sensitive urban design and stormwater management.Project work will be conducted in close cooperation with Solution Lab partners, including municipal stakeholders, ensuring transferability of methods across different urban settings and alignment with real-world decision needs in Blue-Green infrastructure planning.
Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
Your main tasks will be to:conceptualize and set up the spatial reconstruction framework based on generative AIdevelop and benchmark AI-based methods (GAN, diffusion, transformer) and standard interpolation techniques (graph/spatiotemporal interpolation, kriging/GPs) integrate heterogeneous data sources and coordinate joint model development with project partnersassist in the setup and maintenance of the roof sensors including data curationsummarize, present, and publish the project resultsA part-time position is possible.
Salary
Salary category 13 TV-L, depending on the fulfillment of professional and personal requirements.
Contract duration
limited until March, 31st 2029 .
Application up to
13.03.2026
Contact person in line-management
For further information, please contact Dr. Benjamin Fersch, benjamin.fersch@kit.edu.
