58 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Birmingham
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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interface. This PhD project aims to develop a flexible electrochemical sensing interface capable of capturing local physicochemical changes in real time. The work will explore biocompatible, deformable
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processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations
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Project Description: This EPSRC-funded PhD project will investigate how next-generation electric and autonomous vehicles can operate as symbiotic agents within the urban ecosystem—intelligently
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and imperfections, making them both conceptually deep and technologically promising. This theoretical PhD project will investigate how topology and quantum geometry emerge and intertwine such as
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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unsuitable, while the utility and performance of others remains an open question. The aim of the PhD is to derive synchronisation techniques suitable for deployment into a maritime radar sensor network
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control strategies integrating fuel, engine, electric machine, and energy recovery systems for improved overall efficiency. Validate the developed methods through experimental and simulation studies
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avenues by enabling chronic, gut-based monitoring of neuroendocrine activity for applications such as closed loop therapeutics. The proposed PhD project sits at the interface of biomedical engineering
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personalised, ethnically-stratified risk scores. This is a highly interdisciplinary project at the intersection of machine learning, health equity, and precision medicine. The successful candidate will join a