Scientific Staff (PhD Candidate): The University of Regensburg is inviting applications for the position of Scientific Staff (PhD Candidate) focused on Ecological Data Science within the Department of Biology and Preclinical Medicine. This opportunity is part of the project “Bavarian Artificial Intelligence for Insect Monitoring” (bAImo), investigating the impacts of climate change on insect populations in Bavaria.
Designation
Scientific Staff / PhD Candidate (m/f/d)
Research Area
Theoretical Ecology, Data Science, Artificial Intelligence in Ecology
Location
University of Regensburg, Germany
Eligibility/Qualification
- A completed degree in a scientific or mathematical field (e.g., Biology, Ecology, Physics, Mathematics, Statistics, or Data Science).
- Experience in ecological issues, specifically concerning insect decline or species distribution modeling is highly desirable.
- Knowledge of programming languages such as R or Python.
- Familiarity with statistical methods, machine learning, deep learning, and AI is advantageous.
- Proficiency in the English language.
Job Description
- Develop and implement AI-based (Deep Learning) models to predict insect population dynamics in Bavaria.
- Contribute to scientific publications and research outputs.
- Engage in a structured graduate program (RIGeL) facilitating the doctoral process.
How to Apply
Interested candidates should submit their application with the usual documents, including their Master’s thesis, through the designated application button by the specified deadline.
Last Date for Application
December 7, 2025
Contact Information
For inquiries, please reach out to Dr. Maximilian Pichler at maximilian.pichler@ur.de or call +49 941 943-4335.
