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Faheem Khan

1 year 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

Full tuition fees for 3 years, tax-free stipend starting at £20,780 (2025/26), funded by EPSRC DTP

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Huddersfield

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Deep Learning
Wireless Communication
Python Programming
Reinforcement Learning
Multi-objective Optimization
Smart Cities
Doctoral Studies
National Security
Transformer Technology
Beamforming
6g Technology
Matlab Programming
Optimisation
Telecommunication
C
Vehicular Communication
Computer Security
Reimbursement
Autonomous System
Convolutional Neural Network
Applied Mathematic
ML

About this position

?? Exciting PhD Opportunity for UK Home Students in AI-Driven Wireless Communications!
?? 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

Funding details

Full tuition fees for 3 years, tax-free stipend starting at £20,780 (2025/26), funded by EPSRC DTP

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Professors

University Name
Country flag

United Kingdom

Research Interests

Internet Of Things

Electromagnetic

Wireless Communication

Massive Mimo

Cellular Networks