Computer Scientist (PhD Positions) - Simulation and Data Lab Digital Bioeconomy | Informatiker (m/w/d)

Forschungszentrum Jülich GmbH

Jülich, Nordrhein-Westfalen, Deutschland
Published Nov 3, 2025
Full-time
No information

Job Summary

This role offers four interdisciplinary PhD positions at Forschungszentrum Jülich, focusing on the intersection of natural sciences and computational approaches within the Institute of Bio- and Geosciences (IBG). Doctoral researchers will join the Simulation and Data Lab Digital Bioeconomy (SDL-DBE) to develop and apply multiscale models, AI-enhanced simulations, and computational workflows across domains like plant biology, microbial systems, and circular bioprocesses. Day-to-day tasks involve conducting research, developing novel modeling strategies, and applying data-driven approaches to explore biological complexity and design sustainable solutions for global challenges such as climate change and resource scarcity. The ideal candidate holds a relevant Master's degree, possesses experience in scientific programming or computational modeling, and has a strong interest in interdisciplinary research. This position is attractive as it contributes to shaping sustainable innovations and the digital transformation of the bioeconomy within one of Europe’s largest research centers.

Required Skills

Education

Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science

Experience

  • Experience in scientific programming and data analysis (e.g., Python, R, C++, MATLAB)
  • Experience in computational modeling
  • Experience in imaging and sensor data processing
  • Experience in bioinformatics, systems biology, or biophysics
  • Familiarity with simulation environments, numerical methods, or machine learning approaches (advantageous)

Languages

German (Basic)English (Fluent)

Additional

  • PhD position; High degree of independence, motivation, and reliability required; Collaborative mindset and ability to work in interdisciplinary teams required.