PhD Position in Structural-Functional Modelling: The Bioinformatics Division of the Institute of Biological and Geosciences (IBG-4) at Forschungszentrum Jülich invites applications for a PhD position focused on integrating machine learning with plant structural-functional modelling. This is an exciting opportunity to work on cutting-edge research in the bioeconomy.
PhD Position in Machine Learning & Plant Structural-Functional Modelling
Designation
PhD Researcher in Machine Learning & Plant Structural-Functional Modelling
Research Area
- Bioinformatics
- Machine Learning
- Plant Sciences
Location
Forschungszentrum Jülich, Germany
Eligibility/Qualification
- Master’s degree (or equivalent) in a related field (Data Science, Computational Biology, Bioinformatics, Computer Science, Physics).
- Solid programming skills and knowledge in deep learning, statistical modelling, or reinforcement learning.
- Interest in plant physiology, genomics, and process-based modelling.
- Ability to communicate effectively in English and work independently in an interdisciplinary team.
Description
The successful candidate will develop AI pipelines that translate -omic signatures into model parameters, implement reinforcement-learning agents to optimize model performance, and collaborate closely with experts across IBG-3 and IBG-4. The position also includes opportunities for communication through conferences and publications.
How to Apply
Interested candidates should apply through the application portal on the Forschungszentrum Jülich website. Technical inquiries can be directed through a contact form. Note that applications submitted via email will not be accepted.
Last Date to Apply
September 14, 2025
Additional Information
- 30 days of annual leave
- Structured doctoral training with workshops and conference funding
- Family-friendly working hours
- Support for career development in academia or industry
For more details on the position and benefits, visit the Forschungszentrum Jülich website.
