12 machine learning scholarships at Swansea University

Computer Science Fully Funded Swansea University PhD Scholarship: Enhancing Cardiomyocyte Dynamic Network Analysis with Machine Learning (Ecidna-ML)

Cardiomyocyte Dynamic Network Analysis with Machine Learning (Ecidna-ML) This project represents a new approach to map dynamical interactions in networks of human cardiac cells. Network dyssynchronisation is a

Science and Engineering Fully Funded PhD Scholarship: Forecasting Future Environmental Impacts of Photovoltaic (PV) Manufacture Using Machine Learning Techniques

: Forecasting Future Environmental Impacts of Photovoltaic (PV) Manufacture Using Machine Learning Techniques This PhD will suit applicants who are keen to make a difference in how we utilise advanced materials

Civil Engineering: Fully Funded EPSRC and Swansea PhD Scholarship: Physics Informed Machine Learning in High-speed Railway infrastructure safety analysis

the development of machine learning, data-driven method has become a powerful tool for civil engineers. Especially, Physics Informed Machine Learning (PIMM) can be used as a comprehensive analysis considering both

Computer Science Fully Funded PhD Scholarship: Elevating Comparative Judgement Using a Large-Scale Human-In-The-Loop Bayesian Active Learning Approach (Ecstatic)

and progamming skills; Knowledge of Python.; Knowledge of Bayesian statistics, machine learning, and optimisation, or a willingness to learn. This scholarship is open to candidates of any nationality

Civil Engineering: Fully Funded EPSRC and TWI PhD Scholarship: AI-Driven Investigation into Predictive Non-Destructive Evaluation

and provide a second opinion with a level of certainty to assist human experts. From the aspect of research methodology, the research work involves image processing, data analytics and machine learning

Electronic and Electrical Engineering Fully Funded EPSRC and Swansea University PhD Scholarship: Wireless Power Transfer System for Medical Implant Devices

electronics and machine learning. Proficiency in programming languages such as Python, C/C++ and MATLAB. Demonstrated relevant project experience. Excellent analytical and problem-solving skills. Due to funding

Biomedical Engineering Fully Funded Swansea and Boston Scientific Ltd PhD Scholarship: Bioprosthetic Design Evaluation Through Experimental-Computational Techniques

interdisciplinary researchers to grow ideas from concept through to manufacture, instrumentation, and testing, alongside advanced computational mechanics, machine learning, and data analytics workflows. For more

Mathematics: Fully Funded Heilbronn Doctoral Partnership PhD Scholarship

: Algebra, Geometry and Topology Mathematical and computational methods in machine learning and artificial intelligence Partial Differential Equations Stochastic Analysis and (Noncommutative) Probability

Computer Science: Fully Funded Swansea University and QinetiQ PhD Scholarship: Explainable artificial intelligence for automated knowledge discovery and scientific trend prediction

with the latest research and developments. Working closely with the project partner QinetiQ, this project will combine state-of-the-art machine learning methods, natural language models and image

Biomedical Engineering: Fully Funded EPSRC iCASE and Airbus Operations Ltd PhD Scholarship: Digital Image Correlation for Mechanical Testing at Cryogenic Temperature

computational mechanics, machine learning, and data analytics workflows. For more information on the facilities, a virtual tour  is available. The dynamic group (>20 PGR students and Research Staff) leverages