onsite
PhD Position - Active Matter and Machine Learning - Forschungszentrum Julich GmbH P-VA Personalabrechnung
ML Engineer
Lead cutting‑edge research combining active matter physics with machine learning, developing novel computational models and data‑driven analysis tools to uncover emergent behaviors in complex systems.
About the role
Key Responsibilities
- Design and implement computational models of active matter systems using Python and advanced simulation frameworks.
- Develop and apply machine learning algorithms to analyze large-scale simulation and experimental datasets.
- Collaborate with interdisciplinary teams to integrate theoretical insights with data‑driven approaches.
- Publish findings in high‑impact journals and present at international conferences.
- Mentor junior researchers and contribute to the development of research infrastructure.
Requirements
- PhD in Physics, Applied Mathematics, Computer Science, or related field with a strong background in statistical mechanics or soft matter.
- Proven experience in machine learning, data analysis, and Python programming.
- Familiarity with high‑performance computing and simulation tools.
- Excellent communication skills and a track record of scientific publications.
Skills
machine learningpythondata analysis