Scholarship Summary
Applications are invited for a fully funded PhD project focused on modeling and optimizing 6G wireless communication performance and human exposure to radio-frequency electromagnetic fields (RF-EMF). The research will combine physical modeling, measurements, digital twins, and artificial intelligence to develop exposure-aware and communication-efficient future wireless networks.
Scholarship Details
- Designation: PhD Researcher
- Institution: University of Electro-Communications (UEC)
- Research Unit: Advanced Wireless and Communication Research Center (AWCC)
- Location: Japan
- Duration: 36 months
- Funding: Full three-year scholarship
- Expected Start Date: October 1, 2027
- Application Deadline: October 1, 2026
Scholarship Table
- Program: PhD
- Research Topic: Modeling and Optimization of 6G Wireless Communication and Human RF-EMF Exposure
- Funding Sources: MEXT Scholarship or direct funding through UEC-SHIP, JSPS, or MIC projects
- English Requirement: IELTS 6.0 or above, or TOEFL 80 or above
- Japanese Requirement: Not required, but appreciated
- Application Method: Application by email
Research Area
- 6G wireless communication
- RF electromagnetic-field exposure
- Near-field and complex propagation modeling
- Wireless channel and antenna modeling
- Bioelectromagnetics
- Radio-environment digital twins
- Drive-test and over-the-air measurements
- Artificial intelligence and machine learning
- Deep learning and reinforcement learning
- Exposure-aware network optimization
Location
The PhD position is based at the Advanced Wireless and Communication Research Center at the University of Electro-Communications in Japan.
Eligibility and Qualifications
Applicants should hold a master’s degree in communication engineering, electrical engineering, electromagnetics, or a closely related discipline.
Preferred Background
- Knowledge of wireless communication, antenna design, drive testing, and over-the-air measurement.
- Familiarity with test systems such as signal generators, real-time spectrum analyzers, and vector network analyzers.
- Experience with numerical tools such as CST, Sim4Life, or Sionna.
- Programming ability in MATLAB, C/C++, or Python.
- Interest or experience in artificial intelligence, machine learning, deep learning, digital-twin modeling, and reinforcement-learning-based network control.
- Interest in combining physics-based models with measurement-driven and data-driven methods.
- Experience in wireless channel modeling, digital-twin construction, or bioelectromagnetics is advantageous.
- Strong English skills, demonstrated by IELTS 6.0 or higher or TOEFL 80 or higher.
- Japanese language proficiency is not required, although it will be appreciated.
Scholarship Description
Future wireless systems must balance communication capacity with compliance concerning human RF-EMF exposure. This project will jointly model and optimize these areas rather than treating them as separate challenges.
The researcher will develop physical and data-driven models, analyze realistic propagation environments, and use AI and machine-learning techniques for exposure-aware network control. Drive-test measurements, radio-environment digital twins, and over-the-air validation will support the development of practical designs for future 6G networks.
PhD Project Objectives
- Model near-field and complex propagation scenarios for 6G wireless links, including antenna and channel effects.
- Investigate electromagnetic-field interactions with the human body under realistic usage conditions.
- Develop radio-environment digital twins and data-driven channel and EMF models using drive-test and over-the-air measurements.
- Quantify RF-EMF exposure distributions and uncertainties across different deployment geometries using measurement-informed statistical analysis.
- Develop and apply machine-learning and reinforcement-learning methods that optimize network capacity while maintaining human-safety compliance.
Funding
The successful candidate will receive full funding for the three-year PhD. Funding may be provided through the MEXT (Monbukagakusho) Scholarship or directly through UEC-SHIP, JSPS, or MIC projects.
How to Apply
Applicants should prepare the following documents:
- Curriculum vitae
- Academic transcripts
- Motivation letter
- Reference letters
Send the complete application to Kun Li at AWCC, UEC, by email. Candidates shortlisted after the document review will be invited to an interview.
Last Date to Apply
The application deadline is October 1, 2026. The expected start date is October 1, 2027.
Apply Link
Apply by email to li.kun@awcc.uec.ac.jp
