Research Assistant and/or Thesis (Master): AI-based Web Scraping for Agricultural Resource Efficiency
KI-Beschreibung
In this role, you will leverage AI to create web-scraping tools and analyze agricultural datasets, helping to benchmark resource efficiency in multi-cropping systems. Your work will involve synthesizing data and applying machine learning to understand productivity factors.
Anforderungen
- •Bachelor’s or Master’s degree in computational science, systems science, agricultural economics, environmental sciences, or related fields
- •Proficiency in web scraping and programming, preferably using Python
- •Strong interest in socio-environmental systems modeling