5 machine learning PhD positions 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

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