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
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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
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.
