Fully Funded PhD Studentship for UK Home Fee Status Candidates in the Department of Materials
- Manchester, United Kingdom
- Materials
Research theme: AI for Engineering How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to increase each year. The start date is January 2027. This funding is not available to Overseas applicants unless they meet UK Home fee status requirements. We recommend that you apply early as the advert may be removed before the deadl
PhD Studentship - Mechanosensitive Nanochannels
- Manchester, United Kingdom
- Physics and Astronomy
Application deadline: All year round This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here ). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026. Self-funded home and overseas students are welcome to apply. We recommend that you apply early as the advert may be removed before the deadline. Nano- and Angstrom-scale capillaries ha
Northeastern University London Fully Funded PhD Scholarship in Computer Science - Reliable Quantum Statistics
- London, United Kingdom
Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences Funded PhD Project (UK or International Students) Funding provider: Northeastern University London (NU London) Subject areas: Project start date: October 2026 Supervisors (*lead): • Osvaldo Simeone (Northeastern University London) • Carlos Perez Delgado (University of Kent) Aligned programme of study: PhD in Computer Science Mode of study: Full-time Northeastern University London As part of a major in