The University of Huddersfield is offering a fully funded PhD studentship for UK Home students in the field of AI-driven wireless communications, focusing on secure integrated sensing and communication for 6G networks. The project, supervised by Dr. Faheem Khan and Prof. Qasim Ahmed, aims to pioneer AI-native beamforming techniques to enhance the security, adaptability, and efficiency of next-generation wireless networks. Research topics include deep learning models (CNNs, LSTMs, Transformers) for real-time beamforming, multi-objective optimization for secrecy and sensing accuracy, reinforcement learning for adaptive system tuning, and simulation under diverse wireless scenarios. The work supports the UK's leadership in advanced wireless technologies, with applications in autonomous systems, smart cities, vehicular networks, and national security. Applicants must hold at least a 2:1 honours degree in Electrical/Electronic Engineering, Computer Science, Telecommunications, or Applied Mathematics, and have a strong background in wireless communications, signal processing, and AI, with experience in Python, MATLAB, and ML frameworks. The studentship covers full tuition fees for 3 years and provides a tax-free stipend starting at £20,780 (2025/26), funded by EPSRC DTP. The position is full-time for 3 years, with an additional 12 months writing up period (unfunded). To apply, candidates should complete the Expression of Interest Form, submit transcripts, certificates, and two references, and email their application to [email protected] by 1st August 2025. For informal enquiries, contact Dr. Faheem Khan. This is an excellent opportunity to contribute to the future of secure, intelligent 6G networks at a leading UK institution.

A fully funded PhD studentship is available at the University of Huddersfield for UK Home students interested in AI-driven wireless communications and secure 6G networks. The project, supervised by Dr. Faheem Khan and Prof. Qasim Ahmed, focuses on developing AI-native beamforming techniques to improve the security, adaptability, and efficiency of next-generation wireless networks. Research topics include deep learning models for real-time beamforming, multi-objective optimization for secrecy and sensing accuracy, reinforcement learning for adaptive system tuning, and simulation under diverse wireless scenarios. The work supports UK leadership in wireless technologies with applications in autonomous systems, smart cities, vehicular networks, and national security. Applicants should hold at least a 2:1 honours degree in Electrical/Electronic Engineering, Computer Science, Telecommunications, or Applied Mathematics, and have a strong background in wireless communications, signal processing, and AI, with experience in Python, MATLAB, and ML frameworks. The EPSRC DTP studentship covers full tuition fees for 3 years and provides a tax-free stipend starting at £20,780 (2025/26). The position is full-time for 3 years, with an additional 12 months for writing up (unfunded). To apply, candidates must complete the Expression of Interest Form, submit transcripts, certificates, and two references, and email their application to [email protected] by 1st August 2025. For informal enquiries, contact Dr. Faheem Khan.

The University of Huddersfield is offering a fully funded PhD studentship for UK Home students in the field of AI-driven wireless communications, focusing on secure integrated sensing and communication for 6G networks. The project, supervised by Dr. Faheem Khan and Prof. Qasim Ahmed, aims to pioneer AI-native beamforming techniques to enhance the security, adaptability, and efficiency of next-generation wireless networks. Research topics include deep learning models (CNNs, LSTMs, Transformers) for real-time beamforming, multi-objective optimization for secrecy and sensing accuracy, reinforcement learning for adaptive system tuning, and simulation under diverse wireless scenarios. The work supports the UK's leadership in advanced wireless technologies, with applications in autonomous systems, smart cities, vehicular networks, and national security. Applicants must hold at least a 2:1 honours degree in Electrical/Electronic Engineering, Computer Science, Telecommunications, or Applied Mathematics, and have a strong background in wireless communications, signal processing, and AI, with experience in Python, MATLAB, and ML frameworks. The studentship covers full tuition fees for 3 years and provides a tax-free stipend starting at £20,780 (2025/26), funded by the EPSRC Doctoral Training Programme. The position is full-time for 3 years, with an additional 12 months writing up period (unfunded). To apply, candidates should complete the Expression of Interest Form, submit transcripts, certificates, and two references, and email their application to [email protected] by 1st August 2025. For informal enquiries, contact Dr. Faheem Khan. This is an excellent opportunity to contribute to the future of secure, intelligent 6G networks at a leading UK institution.