Postdoctoral Researcher: Training AI in Soil Science

The Helmholtz Centre for Environmental Research (UFZ) is seeking a postdoctoral researcher to lead the curation of annotated X-ray CT datasets for soil microstructure analysis. This DFG-funded initiative focuses on developing deep-learning-based segmentation models while adhering to FAIR and CARE data principles. The successful candidate will collaborate with the Research Data Management team to organize workshops, develop learning materials, and ensure high-quality data standards. You will also contribute to scientific publications and provide mentorship to junior researchers within an interdisciplinary environment.

• Plan and conduct workshops focused on image annotation and semantic segmentation needs.
• Coordinate with data owners to curate and annotate soil microstructure datasets.
• Perform soil sampling and annotate underrepresented soil types.
• Develop comprehensive learning materials and project documentation.
• Ensure quality control for training data and segmentation model outputs.
• Publish datasets and models in online repositories following FAIR and CARE principles.
• Disseminate research findings through scientific journals and conference presentations.
• Provide scientific guidance to interns, PhD students, and research assistants.