Postgraduate Research Funding Opportunity – School of Computing (Code: COMP2176)
Newcastle University
Newcastle upon Tyne, United Kingdom
This listing refers to a postgraduate research funding opportunity hosted by the School of Computing at Newcastle University. The opportunity is part of the university’s structured funding database for postgraduate research candidates and is associated with a specific funding scheme reference code (COMP2176). It is intended to support candidates pursuing advanced research degrees, typically at PhD level, within computing and closely related disciplines.
The funding opportunity forms part of the university’s broader portfolio of postgraduate scholarships and studentships, which are designed to support high-calibre research training in areas aligned with departmental expertise. Successful candidates are expected to engage in full-time research under academic supervision, contributing to ongoing projects or independently defined research themes within the School of Computing.
The scheme is generally linked to research training environments that may include interdisciplinary collaboration, access to specialist computing resources, and integration into active research groups. Funding arrangements for such studentships typically include coverage of tuition fees and may also provide a maintenance stipend depending on the specific award structure and eligibility category. The precise financial package varies according to funding body regulations, candidate residency status, and the nature of the studentship allocation.
Eligibility Criteria
Applicants are typically required to hold a strong undergraduate degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline. A Master’s degree or equivalent research experience may be required for certain projects. Candidates must demonstrate the ability to undertake independent research at doctoral level and align their proposed interests with available supervisory expertise within the School of Computing.
Required expertise/skills
Applicants are expected to demonstrate strong analytical and computational skills, including proficiency in programming, algorithms, data analysis, or machine learning depending on the research area. Familiarity with research methodologies in computing, academic writing ability, and the capacity to work independently and collaboratively within a research environment are essential. Prior research experience or a dissertation at Master’s level is considered advantageous.
Salary details
Where fully funded, studentships typically include tuition fee coverage and a tax-free living stipend aligned with UK research council standards. Additional support for research-related expenses may be available depending on the specific funding allocation. Exact stipend and funding levels vary by project and funding source.
Application Deadline
Deadlines are dependent on individual funding calls or project-specific recruitment cycles. Some studentships operate on fixed annual deadlines, while others may be open until filled. Applicants are advised to consult the specific funding entry associated with the COMP2176 code for precise timelines.