PhD Studentship: AI-Enhanced Flexible Antenna Systems for Resilient Next-Generation Wireless Networks
Develop AI-driven flexible antenna technologies to improve the reliability and efficiency of 6G wireless networks.
Best for:Best for engineering or science graduates with a strong interest in AI, antenna design, and wireless communications.
Overview
The University of Manchester is offering a fully funded 3.5-year PhD studentship within the Department of Electrical and Electronic Engineering. This research project focuses on the development of AI-enhanced flexible antenna systems designed to improve the resilience and performance of next-generation 6G wireless networks. The successful candidate will investigate advanced techniques such as AI-driven channel estimation, beamforming, and real-time network optimization. Applicants are expected to have a strong academic background in a relevant science or engineering discipline and should contact the supervisor prior to applying.
What you'll do
- Design and develop flexible antenna technologies for wireless applications.
- Implement AI-driven algorithms for channel estimation and beamforming.
- Conduct research into real-time network optimization strategies.
- Evaluate system performance in complex and dynamic environments.
- Contribute to the improvement of energy efficiency and coverage in 6G systems.
- Prepare research findings for publication in academic journals and conferences.
Requirements
Degree required: 2.1 honours degree or a master's degree in a relevant science or engineering discipline
Degree offered: PhD
Language: English
Instruction: English
- Strong academic background in engineering or science
- Knowledge of wireless communication systems
- Proficiency in AI or machine learning techniques
- Analytical and problem-solving skills
- Must be eligible to pay tuition fees at the Home rate
Funding & terms
How to apply
Deadline: 2026-10-19
Interested candidates should first contact Dr. Zahra Mobini via email with their academic background, current level of study, relevant experience, and a statement of motivation. Following this, applications must be submitted through the official university portal.
- CV
- Academic transcripts
- Statement of motivation
Contact
Zahra Mobini· Supervisor
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.