Intelligent Industrial Energy Systems: AI-Based Harmonic Diagnosis and Adaptive Hybrid Filter Design
Develop AI-driven diagnostic tools and adaptive hybrid filters for industrial low-voltage applications to enhance energy efficiency.
Best for:Best for electrical engineering or AI graduates with expertise in power systems, signal processing, and a keen interest in sustainable energy solutions.
Overview
This PhD position focuses on advancing intelligent energy systems for industrial applications by integrating AI-based harmonic diagnostics and designing adaptive hybrid filters. The project aims to improve energy efficiency and reliability in low-voltage industrial settings. The successful candidate will work under the supervision of a research team, conducting cutting-edge research at the intersection of electrical engineering and AI. The role involves developing innovative solutions to address harmonic distortions in industrial energy systems, contributing to sustainable energy practices. Applicants should have a strong background in electrical engineering, AI, or a related field and a passion for energy innovation.
What you'll do
- Develop AI-based diagnostic tools for detecting harmonic distortions in industrial energy systems.
- Design and implement adaptive hybrid filters to mitigate harmonic issues in low-voltage applications.
- Conduct experimental and simulation studies to validate the performance of proposed solutions.
- Collaborate with industry partners to ensure practical applicability of research findings.
- Publish research findings in high-impact academic journals and conferences.
- Present research progress at internal and external seminars and workshops.
Requirements
Degree required: Master's degree in Electrical Engineering, Power Systems, Control Engineering, or a related field.
Degree offered: PhD
Language: French and English; proficiency in English is required for academic work.
Instruction: French and English
- Strong background in electrical engineering, power systems, or related fields.
- Proficiency in AI/ML techniques and signal processing.
- Experience with simulation tools such as MATLAB, SIMULINK, or PSIM.
- Familiarity with industrial low-voltage systems and harmonic analysis.
- Strong analytical and problem-solving skills.
- Open to international applicants.
- No specific residency or nationality restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-10-31
Applicants should submit their CV, a cover letter outlining their research interests and qualifications, and academic transcripts. Additional documents such as a research proposal or letters of recommendation may be required. Apply through the Campus France portal.
- CV
- Cover letter
- Academic transcripts
- Research proposal (if required)
- Letters of recommendation (if required)
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