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. The project will investigate how advanced and modern cryptographic protocols, such as zero-knowledge proofs, secure multiparty computation, homomorphic encryption, exotic signatures, and their post-quantum
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degree (or equivalent) in Computer Science, Cyber Security, Mathematics, or a related discipline. Applicants with a lower second class degree but having a relevant Master’s qualification will also be
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an implementation support package Project Supervisors: Dr Sam McLean Prof Beth Fylan Dr Justine Tomlinson Jaspreet Sohal Project Description: This is a fully funded training programme to conduct research
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and signal processing methods using machine learning techniques to enhance the resilience, efficiency, and security of cell-free massive MIMO systems, which are expected to play a key role in next
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for Security Operations Centres (SOCs) while pioneering strategies for quantum-era resilience. This project sits at the intersection of Artificial Intelligence, Cybersecurity, and Explainable Computing. It
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outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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additional training costs; A comprehensive individual training programme, across all years of the award; A funded three-month placement opportunity. How to apply You should first approach a potential lead
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translational research models—SHIELD supports research on therapeutic strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical applications. The program
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cancer-focused disciplines. The TRACC+ Programme is funded by Cancer Research UK and NHS Education for Scotland and commenced in 2019. Vacancies are available within TRACC+ for trainees seeking doctoral