PhD Position in Trustworthy AI for Real-Time Control of Multi-Energy Systems
Explore cutting-edge AI-driven control systems for sustainable multi-energy networks in a collaborative research environment.
Best for:Best for AI and control systems engineers with expertise in energy systems, seeking a PhD opportunity to advance trustworthy AI applications in sustainable infrastructure.
Overview
This PhD position focuses on developing trustworthy AI algorithms for real-time control of multi-energy systems, integrating renewable energy sources, storage, and demand response. The project is based in Provence-Alpes-Côte d'Azur, France, and aims to advance energy efficiency and resilience through AI-driven solutions. The successful candidate will work under academic supervision, contributing to both theoretical research and practical applications in energy systems. The role is ideal for engineers or researchers with a strong background in AI, control systems, or energy engineering, seeking to make an impact in sustainable technology.
What you'll do
- Develop AI-driven algorithms for real-time control of multi-energy systems, ensuring reliability and trustworthiness.
- Conduct theoretical and experimental research on integrating renewable energy sources and storage systems.
- Optimize energy demand response strategies to enhance grid stability and efficiency.
- Collaborate with interdisciplinary teams to design and implement AI solutions for sustainable energy infrastructure.
- Publish research findings in high-impact academic journals and present results at international conferences.
- Contribute to the development of innovative control methodologies for complex energy networks.
Requirements
Degree required: Master's degree (or equivalent) in Engineering, Computer Science, Electrical Engineering, or a related field.
Degree offered: PhD
Language: English proficiency; French is not explicitly required but may be advantageous for local collaboration.
Instruction: English
- Strong background in AI, machine learning, or control systems.
- Proficiency in programming languages such as Python, MATLAB, or C++.
- Experience with energy systems modeling or simulation tools.
- Knowledge of renewable energy technologies and grid integration.
- Familiarity with real-time control algorithms and optimization techniques.
- Open to international applicants.
- No specific residency or nationality restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-10-23
Applicants should submit their application through the official Campus France portal for doctoral programs. The application typically requires a CV, a cover letter, academic transcripts, a research proposal, and letters of recommendation. Ensure all documents are in English unless otherwise specified.
- CV
- Cover letter
- Academic transcripts (BSc and MSc)
- Research proposal or statement of purpose
- Letters of recommendation (likely 2-3)
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