PhD Scholarship in AI-Driven: IETR (Institut d’Électronique et des Technologies du Numérique), UMR CNRS 6164, France, invites applications for a fully funded PhD position focused on the AI-driven design and optimization of irregularly tiled phased array antennas. The research addresses next-generation challenges in satellite communications, beyond-5G systems, and advanced sensing platforms by developing energy-efficient, scalable, and high-performance antenna architectures using artificial intelligence and electromagnetic modeling.
PhD Scholarship: Artificial Intelligence–Driven Design of Irregularly Tiled Phased Array Antennas
🎓 Designation
PhD Research Scholar
🔬 Research Area
- Artificial Intelligence in Electromagnetics
- Phased Array Antennas
- Irregular / Aperiodic Antenna Arrays
- Microwave Engineering
- Antenna Optimization and Modeling
- Beyond-5G and Satellite Communication Systems
📍 Location
IETR – UMR CNRS 6164
Université de Rennes, France
✅ Eligibility / Qualification
- Master’s degree (or equivalent) in Electrical Engineering or Physics
- Strong background in:
- Antenna theory
- Microwave engineering
- Antenna arrays
- Proficiency in written and spoken English
- Knowledge of French is not required
🧪 Job Description
The selected PhD candidate will work on the development of novel modular phased array antenna concepts using AI-based modeling and optimization techniques. The research will focus on solving large-scale tiling problems for irregular antenna layouts while meeting strict communication and sensing constraints.
Key responsibilities include:
- Developing AI-driven electromagnetic performance prediction models
- Designing scalable and energy-efficient phased array layouts
- Optimizing irregular modular antenna configurations
- Validating methodologies through:
- Full-wave electromagnetic simulations
- Prototyping and experimental measurements
- Working closely with IETR’s advanced platforms:
- NanoRennes (nR) – Microfabrication
- M²ARS – Antenna measurement, manufacturing, and prototyping
Duration: 36 months (3 years)
📤 How to Apply
Interested candidates should send the following documents by email:
- Motivation letter
- Curriculum Vitae (CV)
- Recommendation letters (optional)
📧 Contact Persons:
- Dr. Nicola Anselmi
IETR, Université de Rennes, France
Email: nicola.anselmi@univ-rennes.fr - Dr. David González Ovejero
IETR, CNRS, France
Email: david.gonzalez-ovejero@univ-rennes.fr - Prof. Ronan Sauleau
IETR, Université de Rennes, France
Email: ronan.sauleau@univ-rennes.fr
⏰ Last Date for Apply
Until position filled
