PhD in Semantic-Aware Communication and Sensing for Aerial Networks

Laplace Expert Ltd; Vlaams-Brabant; Remote; EUR 18,000 - 24,000; Full time

Job summary

KU Leuven offers a PhD in semantic-aware communication and sensing for aerial networks in Leuven. The project focuses on wavecore's Networked Systems group studying efficient communication and cooperative sensing in UAV and balloon networks monitoring the Earth's lower atmosphere.

The PhD will investigate semantic control messages, PHY–MAC cross-layer design, and distributed self-organising aerial networks, with emphasis on wireless networks, semantic communication, aerial sensing, and

Qualifications

• Master’s degree in Electrical or Telecommunication Engineering with top 10% ranking.
• Fluent English language skills.

Responsibilities

• Investigate semantic control messages and semantic communication.
• Study PHY–MAC cross-layer design for aerial networks.
• Explore distributed self-organising aerial networks.
• Apply wireless networking, machine learning, and signal processing techniques.

Skills

wireless networks

semantic communication

PHY–MAC design

aerial sensing

machine learning

signal processing

Education

Master’s degree in Electrical or Telecommunication Engineering

Job description

PhD in Semantic-Aware Communication and Sensing for Aerial Networks

About This Opportunity

KU Leuven offers phd in semantic-aware communication and sensing for aerial networks in Leuven. The specific focus is wavecore's networked systems group studies efficient communication and cooperative sensing in uav and balloon networks monitoring the earth's lower atmosphere.

WaveCoRE's Networked Systems group studies efficient communication and cooperative sensing in UAV and balloon networks monitoring the Earth's lower atmosphere. The PhD will investigate semantic control messages, PHY–MAC cross-layer design and distributed self-organising aerial networks. The advertised activities and techniques include wireless networks, semantic communication, PHY–MAC design, aerial sensing, machine-learning signal processing as advantage.

Who This Opportunity Is Best Suited For: Based on the documented research scope, this may particularly suit electrical or telecommunications engineering master's graduates with strong wireless fundamentals.

Potential Challenges / Who May Find It Less Suitable: Advertised top-10%-of-class academic performance requirement and fluent English; scholarship conditional on evaluations.

Overall Opportunity Assessment: The advertised work connects wireless networks, semantic communication, PHY–MAC design, aerial sensing, machine-learning signal processing as advantage. Its distinguishing purpose is waveCoRE's Networked Systems group studies efficient communication and cooperative sensing in UAV and balloon networks monitoring the Earth's lower atmosphere. Applicants should assess the documented academic and practical constraints before proceeding.

wireless networks semantic communication PHY–MAC design aerial sensing machine-learning signal processing as advantage

Level PhD

Time Commitment Full-time

Duration Up to 4 years, subject to interim evaluations

Organization Type University

Funding & Compensation

Amount Paid

Funding Type Scholarship

Funding Status Paid

Requirements

Education

Master’s degree in Electrical or Telecommunication Engineering; advertised top 10% academic ranking.

Experience

Technical Skills wireless networks semantic communication PHY–MAC design aerial sensing machine-learning signal processing as advantage