Stiftungsprofessur Data-Centric Artificial Intelligence in Agriculture
Core
Leading an interdisciplinary research group in Data-Centric Artificial Intelligence applied to agriculture, developing innovative AI methods, and bridging digitalization, agriculture, and environment.
Role type
Principal Research Professor (Data-Centric AI in Agriculture)
Builds
Interdisciplinary research programs, innovative AI methods, and knowledge transfer at the intersection of digitalization, agriculture, and environment
Domain
Agriculture + Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
PhD in Computer Science/AI/ML/Data Science, 5+ years of research experience, expertise in Machine Learning and Data-Centric AI, grant acquisition and leadership, team building and leadership, scientific publication record, international networking
Preferred skills
Understanding of agricultural/ecological/sustainability issues, teaching experience, public relations and scientific networking
Technologies
Data-Centric AI, Machine Learning, Data Science
Responsibilities
Build and lead an interdisciplinary research group; Conduct research on data-driven AI methods for agriculture and publish results; Initiate and lead national/international research projects with industry partners; Expand and maintain collaborations with universities, research institutions, and companies; Conceive and conduct teaching programs; Strengthen international visibility of the institution and research program
