Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
contribute actively to our weekly group meetings Disseminate and present your work, and represent the group through both scientific and public channels and outreach activities Take part in a share of tasks in
-
the School of Engineering’s Department of Electronic, Electrical and Systems Engineering. A primary focus of research within the department is to develop novel technologies [1,2] for emerging 5G/6G and
-
of this project is on a holistic investigation of energy efficiency in next-generation mobile networking systems. In the past decade, on the road to 5G, there has been a transformation in the mobile networking
-
hands-on work, access to advanced testbeds and software-defined radio platforms, and training in adjacent disciplines such as signal processing, AI for navigation, integrity monitoring, and sensor fusion
-
. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent
-
vulnerabilities like side-channel attacks and unauthorized access, which can compromise system integrity. Developing robust security measures within AI-enabled electronics is essential for applications in defence
-
debris (Kessler's Syndrome). To manage this, global sensor networks monitor our space environment in both optical and radio regimes. This research project will contribute to advancing space situational
-
the understanding of offshore turbulence in spatially varying flows. The focus will be on open channel flow dynamics and controlled experimental studies will be designed and conducted to generate and characterise
-
. Electroencephalography (EEG) has emerged as a non-invasive and economical alternative technique for studying neurological disorders. However, current approaches rely primarily on single-channel or pairwise connectivity
-
autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming