onsite
PhD Position - Generative AI for Smart Grids and Energy Systems - Forschungszentrum Julich GmbH P-VA Personalabrechnung
AI Engineer
Lead cutting‑edge research on generative AI models to optimize smart grid operations and energy system planning, leveraging Python, deep learning, and advanced data analytics.
About the role
Key Responsibilities
- Design, develop, and evaluate generative AI models for forecasting, optimization, and anomaly detection in smart grid and energy system datasets.
- Collaborate with interdisciplinary teams to integrate AI solutions into real‑world grid management platforms.
- Conduct rigorous experimentation, performance benchmarking, and reproducibility studies.
- Publish findings in top-tier conferences and journals, and present at industry workshops.
- Mentor junior researchers and contribute to grant proposal development.
Requirements
- PhD in Computer Science, Electrical Engineering, Energy Systems, or related field with a strong focus on machine learning.
- Proven experience in Python, deep learning frameworks (PyTorch/TensorFlow), and large‑scale data processing.
- Deep understanding of smart grid concepts, energy market dynamics, and related regulatory frameworks.
- Excellent communication skills and a track record of high‑impact publications.
- Ability to work independently and collaboratively in a research‑driven environment.
Skills
pythonmachine learninggenerative aideep learningdata analysis