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are looking for An enthusiastic, self-motivated, resourceful PhD candidate, with knowledge in aircraft power systems and IT skills in MATLAB/Simulink and other related software. Applicants should have achieved
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. Together we will study how the existing and emerging paradigms in reinforcement learning can be utilized to power automated annotation and diagnostic software of critical infrastructure via continual
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, with expertise in fluid mechanics and heat transfer Experience with OpenFOAM simulation software Programming skills with software such as Matlab and/or Python How to apply Please send an email with
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, the software or staff knowledge while supporting the system. It is important to note that obsolescence management plays a key role in improving safety, security, efficiency, and lifetime of a system, and such
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are essential. Strong skills in using ANSYS fluent, Python, Matlab or similar coding software are desirable. The studentship offers exciting research based in the Department of Architecture and Built Environment