Digital Twins for Wireless Networks

This PhD investigates the design of digital twins for wireless networks, aiming to develop frugal data collection and closed-loop control mechanisms that translate predictions into actionable adaptations within low-power wireless systems.

• Master degree in Computer Science (CS) or Electrical and Computer Engineering (ECE)
• Excellent programming skills in C
• Embedding programming
• Knowledge of at least one scripting language, preferentially Python
• Statistics and measurements
• Wireless networks (protocols and radio propagation)
• Knowlegde of Wi-Fi and LoRa would be an asset
• Machine learning and deep learning algorithms (as a user)
• Good verbal and written English skills
• French is not a requirement