3 simulation "Data driven Materials Modeling" PhD positions at Manchester Metropolitan University
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high-quality experimental datasets using laboratory flume facility. Developing and validating hydrodynamic models to simulate the effect of vegetation in different environmental conditions. Designing and
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, and more consistent. Current AI systems struggle because they assume a single correct answer, when geological evidence often supports multiple plausible interpretations; so, training AI to copy one
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communications. The project includes training in AI, cyber security, FL, privacy-preserving computation, edge intelligence, and UAV simulation. Objectives Define a UAV-PFL threat model covering poisoning, backdoor
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