PhD: AI-Driven NTN System & Link Design with Digital Twin

Karlstad University; Leuven; Sur place; EUR 20 000 - 30 000; Plein temps

Avantages offerts par ce poste

PhD scholarship for up to four years.

Opportunities to participate in international conferences.

Access to state-of-the-art laboratories.

Résumé du poste

Karlstad University in Leuven seeks a PhD candidate for a groundbreaking project on AI-driven system design for integrated non-terrestrial networks. You will work within the WaveCoRE research group, focusing on next-generation wireless systems.

This scholarship offers four years of funding, extensive training, and opportunities to collaborate internationally and publish research. Ideal candidates hold a Master's in Electrical or Telecommunication Engineering and have a strong background in wireless communication and signal processing.

Qualifications

• Ranked within the top 10% of the class for both MSc and BSc, with exceptional grades.
• Strong written and verbal communication skills; fluent in English.
• Strong interpersonal skills and ability to work in an international team.

Responsabilités

• Contribute to a software-defined radio-based spectrum-sensing experimental testbed.
• Investigate machine-learning and AI-driven algorithms for NTN channel prediction.
• Explore novel handover and modulation and coding scheme (MCS) adaptation strategies.

Connaissances

Wireless communication

Signal processing

Networking fundamentals

Software-defined radio (SDR)

PCB design

Formation

Master’s degree in Electrical Engineering or Telecommunication Engineering

Outils

USRP

NI

LimeSDR

Description du poste

Karlstad University in Leuven seeks a PhD candidate for a groundbreaking project on AI-driven system design for integrated non-terrestrial networks. You will work within the WaveCoRE research group, focusing on next-generation wireless systems.

This scholarship offers four years of funding, extensive training, and opportunities to collaborate internationally and publish research. Ideal candidates hold a Master's in Electrical or Telecommunication Engineering and have a strong background in wireless communication and signal processing.