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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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this fully funded PhD studentship in Physics. We’re looking for a student who has a passion for science, with ambition to apply their own ideas, perspectives, and their personal skillset to the discovery and
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, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
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jointly learn from images and text, most current systems are still limited in three important ways: they primarily rely on statistical pattern recognition rather than structured clinical reasoning
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this goal, we will combine new datasets, a deeper process-understanding, sophisticated models and improved experimental design. As part of CLARiTy, this PhD will focus improving the representation of tropical
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Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying
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research, develop and apply state-of-the-art optimisation and machine learning methods to problems within ship design, encompassing hull, powertrain and internal designs. The successful candidate will have
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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
and coordinate motor responses. Despite its importance, our understanding of its development and how it may be disrupted in neurodevelopmental disorders is still largely unknown. This funded PhD project