Qasim Ahmed
4 months ago
AI-driven Predictive Beamforming for Secure Integrated Sensing and Communication in 6G Networks University of Huddersfield in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded EPSRC DTP studentship covering full tuition fees for 3 years and a tax-free stipend starting at £20,780 (2025/26). The writing-up year (12 months) is unfunded.
Deadline
Aug 1, 2026
Country
United Kingdom
University
University of Huddersfield
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About this position
Funding details
Fully funded EPSRC DTP studentship covering full tuition fees for 3 years and a tax-free stipend starting at £20,780 (2025/26). The writing-up year (12 months) is unfunded.
What's required
Applicants must be UK Home students with a minimum 2:1 honours degree (or equivalent) in Electrical/Electronic Engineering, Computer Science, Telecommunications, or Applied Mathematics. A strong background in wireless communications, signal processing, and AI is required. Experience with Python, MATLAB, and machine learning frameworks such as PyTorch or TensorFlow is preferred. Candidates should provide transcripts, certificates, and two references.
How to apply
Complete the Expression of Interest Form. Submit transcripts, certificates, and two references. Email your application to [email protected] before the deadline.
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?? EPSRC-Funded Studentship | University of Huddersfield
?? Apply by: Friday 1st August 2025, 12 noon (UK time)
Are you passionate about cutting-edge research in AI, wireless communications, and secure systems? We are inviting applications for a fully funded PhD studentship under the prestigious EPSRC Doctoral Training Programme.
?? Project Title:
AI-driven Predictive Beamforming for Secure Integrated Sensing and Communication in 6G Networks
????? Supervisors:
Dr. Faheem Khan
Prof. Qasim Ahmed
?? Project Overview:
This research will pioneer AI-native beamforming techniques to enhance the security, adaptability, and efficiency of 6G wireless networks. The project will explore:
Deep learning models (CNNs, LSTMs, Transformers) for real-time beamforming
Multi-objective optimization for secrecy and sensing accuracy
Reinforcement learning for adaptive system tuning
Simulation and evaluation under diverse wireless scenarios
?? Why This Matters:
This work supports the UK’s leadership in next-gen wireless technologies, with applications in autonomous systems, smart cities, vehicular networks, and national security.
?? Who Should Apply?
We’re looking for UK Home students with:
A minimum 2:1 honours degree (or equivalent) in Electrical/Electronic Engineering, Computer Science, Telecommunications, or Applied Mathematics
Strong background in wireless communications, signal processing, and AI
Experience with Python, MATLAB, and ML frameworks (e.g., PyTorch, TensorFlow)
?? Funding Details:
Full tuition fees for 3 years
Tax-free stipend starting at £20,780 (2025/26)
Funded by EPSRC DTP
?? Location: University of Huddersfield
?? Duration: 3 years full-time + 12 months writing up (unfunded)
?? How to Apply:
Complete the Expression of Interest Form
Submit transcripts, certificates, and two references
Email your application to [email protected]
?? Deadline: 12 noon, Friday 1st August 2025
For informal enquiries, contact Dr. Faheem Khan.
?? Join us in shaping the future of secure, intelligent 6G networks!
# PhDOpportunity # EPSRC # AI # 6G # WirelessCommunications # Beamforming # MachineLearning # PhysicalLayerSecurity # Huddersfield # ResearchOpportunity # PhDStudentship