Your main tasks will be to:

• conceptualize and set up the spatial reconstruction framework based on generative AI
• develop 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 partners
• assist in the setup and maintenance of the roof sensors including data curation
• summarize, present, and publish the project results

A part-time position is possible.

Persönliche Qualifikation

Specifically, you have:

• a PhD degree in the field of Artificial Intelligence or the wider field of Machine Learning, ideally in the context of hydrology, meteorology or associated fields
• strong skills in developing and training deep neural networks, ideally using pytorch;
• expertise with handling large datasets and machine learning workflows;
• basic knowledge of hydrology, meteorology and remote sensing;
• demonstrated history of publications in peer-reviewed journals;
• willingness to travel and to assist in the installation and maintenance of soil moisture sensors.

You will also need to have a good command of written and spoken English.

Organisationseinheit

Salary

Salary category 13 TV-L, depending on the fulfillment of professional and personal requirements.