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Forschungszentrum Jülich PhD Position - Machine Learning & Plant Structural-Functional Modelling 2025

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

Check also:
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Application Deadline

September 14, 2025

How 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.

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