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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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the genetic factors influencing changes in brain structures, using brain imaging, computational and statistical methods of network science. Project Aim: The aim of the project is to uncover the complex
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this multidisciplinary project, the student will develop expertise in: Direct collaboration with leading medical imaging and materials science partners. Access to Cranfield’s advanced materials characterisation and
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, Atmospheric Science, Physics, or a closely related discipline*, or equivalent research, industrial or commercial experience. Research Assistant: A first/masters degree (or equivalent) in Aerospace Engineering
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is in collaboration with a commercial funder, there will be an expectation that the candidate engages with the company for updates and scientific discussions. They should therefore also have a passion
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, computation, and biophysics. They will also have the opportunity to develop independent projects after gaining adequate experience. Moreover, they will receive support if they wish to participate in career
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science, data analysis, socio-economically-driven decision-making, and collaborative research, highly sought-after skills. Number Of Awards: One Start Date: Autumn 2025 Award Duration: 4 years Application
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requirements Essential requirements: Desirable requirements (but not essential) First class or upper second-class honours degree in computing, cybersecurity or a closely aligned discipline. Masters of science
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scientific papers for journals and conferences is preferred but not essential. Funding notes: We are looking for an ambitious and motivated student with background in Computer Science or AI to undertake a 3
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Autonomous AI-powered red agents for enhanced