Develops and analyses lattice hard problems, cryptanalysis and lattice-based post-quantum or privacy-preserving primitives.
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Combines multiscale computation and experiments to predict elastomer degradation under extreme thermomechanical loading, with Michelin.
Competitive institutional AHRC funding for original arts and humanities projects, including interdisciplinary and collaborative research.
SGSAH-linked arts and humanities studentships with cohort training, placements and knowledge exchange.
Challenge-led social-science and health doctoral competition with internal interview and nomination before the final DTP submission.
Investigate cognition and brain function through experimental psychology, neuropsychology, computational modelling or neuroimaging. Projects can involve new experiments or analysis of existing datasets, with emphasis on research design and clear communication.
Broad funded-project competition across Ulster faculties, with applicants selecting a project through the PhD Finder.
Arts and humanities doctoral awards combining research, a career-enhancing placement and possible additional skills training.
Cohort doctoral training combining AI with design, society, law and governance across public-interest challenges.
ESRC doctoral training across multiple social-science pathways, with a three-month Research in Practice placement.
Compare several Computing Science PhD funding schemes for October 2027 entry. Graduate School awards include fees and stipend, while other schemes offer Home-rate fees, partial international discounts or part-time teaching remuneration. These are different packages; a common award amount is not guaranteed.
Study advanced economic theory and methods while beginning to develop a research direction. This MPhil includes substantial coursework and prepares students for doctoral applications; completing it does not guarantee admission to a PhD. Cambridge classifies this course as taught; included for doctoral research preparation.