Stiftungsprofessur Data-Centric Artificial Intelligence in Agriculture
Core
Leading an interdisciplinary research group focused on Data-Centric Artificial Intelligence applied to agriculture, bridging digitalization, farming, and environmental sustainability.
Role type
Principal Research Professor (Data-Centric AI in Agriculture)
Builds
Interdisciplinary research programs, innovative AI methods, and knowledge transfer initiatives for the agricultural sector.
Domain
Agriculture + Artificial Intelligence / Machine Learning
Required skills
Data-Centric AI, Machine Learning, Data Science, research group leadership, grant acquisition and management, academic teaching, international collaboration, scientific publishing
Preferred skills
Understanding of agricultural/ecological/sustainability challenges, established international research network
Technologies
Data-Centric AI frameworks, Machine Learning libraries, Data Science tools
Responsibilities
Build and lead an interdisciplinary research group; conduct research on data-driven AI methods for agriculture; initiate and lead national/international R&D projects with industry partners; develop and teach courses at bachelor/master levels; strengthen international visibility of the institution and research program
Seniority
Principal, strategy & mentorship