11 condition-monitoring-machine-learning PhD positions at The University of Manchester
Sort by
Refine Your Search
-
Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
-
students or EU students with settled status. The successful candidate will receive an annual tax-free stipend based on the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend
-
, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic
-
. Fe, S) on CNT purity and structure. Evaluate CNTs as conductive additives in standard Li-ion battery electrodes. Apply AI/machine learning to optimise experimental design and growth parameters
-
to achieve efficient and proactive reconstruction of the printing process, enabling real-time in-situ monitoring of large-volume material deposition and 2) How to adaptively compensate for size-induced defect
-
Deadline: 12.12.25 How to apply: https://uom.link/pgr-apply-2425 For UK students This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful
-
How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful candidate will receive an annual tax-free
-
Doctoral Academy and Researcher Development team to enhance your research skills and career development. Learn more Bicentenary PhD Studentship Projects Over 30 Bicentenary PhD Studentship projects will be
-
Open to UK students This 3.5-year PhD project is fully funded for home students or EU students with settled status. Tuition fees will be paid and the successful candidate will receive an annual tax
-
paid. We expect the stipend to increase each year. UK students and those with settled status are eligible to apply. The outcomes of this research are expected to contribute to both technological