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Electrical Engineering and Computer Science● OpenPreview

Doctoral Researcher in Digital-Twin Mapping for 5G/6G Electromagnetic Fields

Build and deploy FR3 monitoring nodes to map and analyze 5G/6G electromagnetic fields using digital-twin techniques.

Best for:Best for electrical engineers, computer scientists, or physicists with a strong background in wireless communications, signal processing, or computational electromagnetics.

Ghent University · Ghent, Belgium · R1 · First-stage researcher
More professors at Ghent University
digital-twin modeling5G/6G electromagnetic field mappinganomaly detectionfinite-difference time-domain (FDTD) simulationssensor fusionwireless communications
Deadline
Nov 30, 2026
47 days
Funding
—
Start date
—
Location
Ghent
Belgium

Overview

This PhD position focuses on developing digital-twin frameworks to model and monitor electromagnetic fields in 5G and 6G networks. The successful candidate will design and construct FR3 monitoring nodes, create detailed spectrum and EM field maps, and implement anomaly detection algorithms. The work involves finite-difference time-domain (FDTD) simulations for absorption modeling and sensor fusion techniques to integrate multi-source data. The project is hosted at Ghent University’s Department of Information Technology and offers an opportunity to contribute to next-generation wireless communication technologies.

digital twin5G/6Gelectromagnetic field mappingFDTDsensor fusionwireless networksanomaly detectionsignal processing

What you'll do

  • Design and implement FR3 monitoring nodes for electromagnetic field measurements in 5G/6G networks
  • Develop digital-twin frameworks to model and simulate electromagnetic field distributions
  • Create spectrum and electromagnetic field maps using collected and simulated data
  • Implement anomaly detection algorithms to identify irregularities in electromagnetic field patterns
  • Conduct finite-difference time-domain (FDTD) simulations to model absorption and propagation effects
  • Integrate multi-source sensor data using fusion techniques to enhance monitoring accuracy
  • Collaborate with interdisciplinary teams to validate models and refine monitoring strategies
  • Publish research findings in peer-reviewed journals and present at international conferences
  • Contribute to open-source tools or datasets related to electromagnetic field monitoring

Requirements

Degree required: MSc in Electrical Engineering, Computer Science, Physics, or a closely related field

Degree offered: PhD

Language: English; proficiency in Dutch or French is a plus but not required

Instruction: English

Required skills
  • Strong background in wireless communications or signal processing
  • Experience with electromagnetic field simulations (e.g., FDTD, FEM, or related tools)
  • Proficiency in programming languages such as Python, MATLAB, or C++
  • Familiarity with sensor data acquisition and processing
Nice to have
Experience with digital-twin modeling or cyber-physical systemsKnowledge of 5G/6G network architectures and protocolsExperience with machine learning for anomaly detection or data fusionPublication record in related fields
Eligibility
  • Applicants must hold a Master’s degree (or equivalent) in a relevant field

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
—

How to apply

Deadline: 2026-11-30

Submit a complete application package including a CV, cover letter, research statement, and academic transcripts via email. Include contact details for at least two academic referees. Ensure all documents are in PDF format and clearly labeled with your full name.

Documents required
  • CV
  • Cover letter
  • Research statement
  • MSc and BSc academic transcripts
  • Contact details for two academic referees
✉Apply by email
Lab
Department of Information Technology
Ghent University
Belgium
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