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Field
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. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers
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and methods. You can find faculty research interests on the staff web pages. If you have any general queries, please contact the PhD Director, Dr David Baxter, e-mail: d.baxter@soton.ac.uk and
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these findings should be used to design AI agents that actually warrant our trust. You can find more information about our work and approach at the Project Website: https://research.kent.ac.uk/trust-moral-machines
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students are welcome to apply, but should note that the award will cover only the home fee amount (c. £5,000); the remaining international fee must be self-funded. You can find more information on the
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modelling. Objectives The primary objective of this PhD project is to quantify raindrop-freezing fragmentation using a cloud chamber and support these findings with numerical modelling. Specific aims include
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communication link reliability by developing low-power AI-driven solutions that detect potential link blockages and disruptions in real time, operating within the strict power constraints of satellite systems
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. The successful candidate will be part of a team working towards advancing the modelling capabilities of geothermal systems and contribute to the following objectives: • Investigating fluid flow
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aims to bridge that gap by developing comprehensive solutions that can be implemented across the UK. Aims & objectives Explore and Evaluate: Deep dive into existing HaaS definitions, policies, pilots
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reputable outlets appropriate to the discipline Co-ordinate own work with that of others, deal with problems which may affect the achievement of research objectives and contribute to the planning
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the RAINZ CDT website , where you can also find further information about the CDT. Informal enquiries can be made by emailing rainz@manchester.ac.uk . Funding notes: Funding for this RAINZ CDT studentship is