Wissenschaftlichen Mitarbeiterin*Mitarbeiters (Doktorand*in) (m-w-d)
Core
Conduct economic evaluation and management research on Precision-Farming technologies and farm-level data management in German agriculture, utilizing machine learning methods for partial-area management analysis.
Role type
Research Associate (PhD Candidate)
Builds
Economic analyses and research publications on farm-level precision agriculture
Domain
Agricultural Economics / Precision Farming / Data Management
Deliverable
production ML models
Required skills
Empirical research, economic methods, farm and digital data management, statistics/econometrics, machine learning, teaching
Preferred skills
PhD qualification
Technologies
Machine Learning
Responsibilities
Conduct research on economic evaluation of Precision-Farming technologies, perform economic analysis of partial-area management using ML, document and present results at conferences, teach bachelor and master courses, supervise students and theses, support administrative tasks
