55 phd-studenship-in-computer-vision-and-machine-learning PhD positions at The University of Manchester
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
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that you apply early as the advert may be removed before the deadline. This PhD project aims to develop a virtual tabletting laboratory by creating computational models that capture the multiscale mechanics
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components might be only practically verified using one verification method. For example, a machine learning vision component cannot be realistically formally verified but it can undergo a rigorous testing
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simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI
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PhD Studentship available on the RAINZ CDT programme at The University of Manchester. Project Overview Abstract: Offshore wind and marine energy assets operate in harsh, inaccessible environments
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Application deadline: 30/04/2026 Research theme: Catalysis and porous materials, Gas Capture How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students
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Engineering, Computer Science, Physics, Mathematics, or a related discipline. Applicants should also demonstrate evidence of programming experience. Experience and background in the area of Robotics or Cyber
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This 3.5-year PhD is fully funded by The University of Manchester. Tuition fees will be paid and you will receive an annual tax free stipend set at the UKRI rate (£19,237 for 2024/25). We expect
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How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780
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Upper Second-class honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics, Mathematics, or a related discipline. Applicants should also demonstrate