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Field
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Autonomous vehicles (AVs) are advancing rapidly, yet their safety assurance remains limited by the opacity of modern AI systems. Current machine learning–based decision pipelines often function as
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automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability challenges in agentic reasoning systems. Where to apply Website https://www.findaphd.com/phds
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Join our thriving multidisciplinary community and deliver projects focused on the safety of AI. The Centre for Doctoral Training in Safe AI Systems (SAINTS CDT) is the UK’s first multidisciplinary
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are suboptimal, with 15–35% lethality and neurological sequelae in 14–40% of cases despite therapy. Managing exposed at-risk individuals is also challenging, as antibioprophylaxis can disrupt the microbiota and
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. Exposure to neural-symbolic algorithms for transforming intent into conformant security or safety policy and/or enforcing security controls is optional but beneficial. Research will also give the opportunity
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marine research for more than a century, and today it is home to the largest concentration of marine researchers in the UK. Come and join our vibrant community of marine PhD students. Project Description
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Project Supervisor - Dr Riaz Ahmed Shaikh The purpose of this research project is to explore how digital twin technology can enhance the efficiency, comfort, security, and privacy of smart homes. By
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storm to use these technologies and/or visit the affected area to evaluate storm-related tree damage. Therefore, to support sales planning and the safety of foresters working in the field, there is a need
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significantly enhance their capacity for self-management, leading to more reliable, efficient, and trustworthy systems in safety-critical and complex domains. On-the job research training for the Doctoral
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Research themes: Cyber Security, AI, Decentralized Systems, Applied Cryptography UK students This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an