Are you interested in plant sciences? Do you have a passion for applying cutting-edge methods to explore the bioeconomic relevance of plants? Then join the Bioinformatics division (IBG-4) at the Institute of Bio- and Geosciences, Forschungszentrum Jülich! We are seeking a highly motivated doctoral researcher to integrate state-of-the-art machine-learning algorithms with structural-functional plant models.
Your Job:
- Develop AI pipelines that translate -omic signatures into dynamic model parameters
- Implement reinforcement-learning agents that optimise model performance
- Collaborate closely with modellers, molecular biologists and data scientists across IBG-3 and IBG-4
- Communicate your science by presenting at conferences, publishing software and peer-reviewed publications
Table of Content
Summary
Subscribe for Scholarship Alert!
Benefits
- Structured doctoral training through the CASA School for Data and Life Sciences, including transferable-skill workshops and conference funding.
- Flexible, family-friendly working hours and a vibrant campus.
- Active support for career development in academia or industry.
- A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
- Outstanding scientific and technical infrastructure
- Creative and international team that conducts research at the frontiers of science
- The Forschungszentrum Jülich is one of the largest research centres in Europe with excellent scientific equipment, including the fastest supercomputer in Europe, is located on a green campus, and near the cultural centres of Cologne, Düsseldorf and Bonn
- A highly motivated group and an international and interdisciplinary working environment in one of the largest research institutions in Europe
- 30 days of annual leave
- Targeted services for international employees, e.g. through our International Advisory Service
- Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs
Requirements
- 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 modelling or reinforcement learning
- Interest in (or willingness to learn) plant physiology, genomics and process-based modelling; any 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
Check also:
Scholarship winning strategies for 2026 (Upcoming Webinar)
Application Deadline
September 14, 2025How To Apply
Are you qualified and interested in this opportunity? Kindly go to
Forschungszentrum Jülich on www.fz-juelich.de to apply
For more information, kindly visit Forschungszentrum Jülich scholarship webpage.