PhD Position in Functional Modelling: The Institute of Biological and Geosciences (IBG-4) at Forschungszentrum Jülich is offering a PhD position focused on integrating machine-learning algorithms with structural-functional models in plant sciences. This position provides an opportunity to work at the intersection of bioinformatics and plant biology, contributing to innovative research in the bioeconomy sector.
PhD Position in Machine Learning & Plant Structural-Functional Modelling
Designation
PhD Researcher
Research Area
Machine Learning, Plant Structural-Functional Modelling, Bioinformatics
Location
Forschungszentrum Jülich, Germany
Eligibility/Qualification
- Master’s degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics, or a related field.
- Solid programming skills and knowledge in deep learning, statistical modeling, or reinforcement learning.
- Interest in plant physiology, genomics, and process-based modeling; prior exposure to crop or ecological models is a plus.
- Proven ability to work independently, communicate clearly in English, and thrive in an interdisciplinary team.
Job Description
- Develop AI pipelines that translate -omic signatures into dynamic model parameters.
- Implement reinforcement-learning agents to optimize model performance.
- Collaborate closely with modellers, molecular biologists, and data scientists across IBG-3 and IBG-4.
- Present findings at conferences and contribute to software and peer-reviewed publications.
How to Apply
Interested candidates should follow the application process detailed on the official webpage provided here. Note that applications cannot be submitted via email.
Last Date to Apply
September 14, 2025
