Summary
Forschungszentrum Jülich GmbH is offering a Ph.D. position focused on developing generative AI applications for smart grids and energy systems. This initiative aims to tackle challenges related to the integration of renewable energy and the complexities of modern energy infrastructures.
Ph.D. Position – Generative AI for Smart Grids and Energy Systems, Forschungszentrum Jülich, Germany
Designation
Ph.D. Candidate
Research Area
- Generative AI
- Smart Grids
- Energy Systems Engineering
- Machine Learning
Location
Jülich, Germany
Eligibility/Qualification
| Requirement | Details |
|---|---|
| Degree | Excellent Master’s degree in Electrical Engineering, Computer Science, Physics, or related field |
| Technical Skills | Strong background in mathematics, machine learning, and statistical modeling |
| Programming Skills | Proficiency in Python, Matlab, C/C++, and experience with AI/ML frameworks |
| Knowledge | Familiarity with power systems, energy informatics, or digital energy infrastructures is an advantage |
| Language Skills | Proficient in English (B2 level or higher); German is a plus |
| Experience | Preferred in synthetic data generation, graph neural networks, or real-time simulations |
Job Description
The candidate will participate in the AI.Grids project, focusing on:
- Developing generative AI and foundation model approaches for energy systems
- Generating synthetic energy datasets based on real operational data
- Implementing physics-informed and graph-based machine learning methods
- Handling data analysis with a focus on uncertainty and privacy
- Creating scalable AI workflows for training and validation
- Integrating methods into practical applications while collaborating with European research and industrial partners
How to Apply
To apply for this position, candidates should prepare the following documents:
- Curriculum Vitae
- Cover Letter
- Academic Transcripts
- Proof of English Language Proficiency
- Any additional relevant documents
Please submit your application via the career portal on the Forschungszentrum Jülich website.
Last Date to Apply
The position will remain open until filled; early application is encouraged.
