Research Associate (Forest Ecosystem Modeling) | Wissenschaftliche Mitarbeiterin / wissenschaftlicher Mitarbeiter (m/w/d)

Julius Kühn-Institut Bundesforschungsinstitut für Kulturpflanzen

Quedlinburg, Sachsen-Anhalt, Deutschland
Published Nov 12, 2025
Full-time
Fixed-term

Job Summary

This role as a Research Associate at the Institute for Forest Protection focuses on enhancing the climate resilience of German forests through advanced ecological modeling within the crucial "ForestOvershoot" project. Day-to-day responsibilities involve developing and applying comprehensive workflows for process-based forest models, utilizing forest inventory and remote sensing data, and integrating climate scenarios. A key focus will be improving the representation of biotic disturbances, such as insects and pathogens, within these models to conduct robust historical and future simulations. The successful candidate will be responsible for harmonizing simulation analyses with project partners, publishing results in international journals, and presenting findings at conferences. This position is ideal for a candidate with a background in Data Science or Environmental Sciences (preferably with a PhD) who possesses strong programming skills (R, Python, C++) and experience in ecological system modeling, offering a unique opportunity to actively shape forest ecosystem strategies against climate change.

Required Skills

Education

Scientific University Degree (Master's or equivalent) in Data Science, Environmental Sciences, or related disciplines; Doctoral Degree (PhD) preferred.

Experience

  • Professional experience in ecological systems modeling
  • Experience handling remote sensing and inventory data (e.g., BWI, Satellites)
  • Experience with process- or individual-based forest models (advantageous)
  • Experience in collaborating with research institutions

Languages

German (Fluent)English (Fluent)

Additional

  • Temporary full-time contract until October 31, 2028; Willingness to undertake multi-day business trips in Germany and Central Europe; Driver's license Class B (advantageous); International degree holders require ZAB evaluation.