Queen’s University Belfast, United Kingdom invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Queen’s University Belfast, United Kingdom.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: AI Enabled Supply Chain Resilience in Food Manufacturing
This PhD project will develop AI driven approaches to assessing and monitoring supply chain resilience, moving beyond traditional, self reported supplier assessments. Working in close partnership with Samworth Brothers, one of the UK’s leading food producers, the research will apply advanced data analytics and artificial intelligence to identify vulnerabilities and emerging risks across critical ingredient and supplier networks, with the aim of delivering near real time, decision ready insight.
The project offers an exceptional opportunity for a PhD student to work on a high impact, real world industrial challenge while developing cutting edge skills in AI, data analytics and risk modelling. The student will work with complex industrial datasets, collaborate directly with supply chain and technical specialists, and produce research with clear academic and commercial relevance.
The studentship is suitable for candidates with backgrounds in data science, engineering, computer science, supply chain analytics or related quantitative disciplines, and an interest in applying advanced methods to real industry problems.
The student will be enrolled at Queen’s University Belfast, with flexible working arrangements over the four year programme. Travel to food manufacturing sites and engagement with industry partners will be encouraged, providing first hand exposure to real supply chain decision making. The student will also engage with wider academic–industrial innovation networks involving Samworth Brothers.
Deadline : 31 August 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: County Antrim Grand Jury Bursary
This fund was established in 1972 from the proceeds of the sale of property belonging to the County Antrim Grand Jury at the time of its dissolution. The representatives of the Grand Jury, with the approval of the Ministry of Finance (now the Northern Ireland Department of Finance), gave the sum of £4,356 for the promotion and encouragement of legal education in the University.
Deadline : 17 July, 2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: Frameworks & Governance for the Certification by Analysis of Complex Systems.
This project will be centred on compliance assurance and will initially examine current standards / industrial / certification body thinking for best practice (current & anticipated) in CbA. The intention is to use a multi-disciplinary approach (where possible) based on the nature of the system being certified and the platforms used to model / simulate them. The work will develop a cohesive, globally applicable roadmap / framework for the application of CbA methods with its dual-purpose including means by which organisations can assess / be assessed for their individual levels of readiness for its use for the certification of real systems.
Aim: To establish the use of certification by analysis as a means of certifying complex systems
1. Literature & Technical Review (including industrial perspectives from experienced practitioners via interviews / workshops):
i. Current state of the art in complex system compliance and conventional certification approaches.
ii. Current Certification by Analysis methods / frameworks / relevant technologies / applicable standards.
2. Conduct gap analysis based on 1.i & 1.ii to identify / develop requirements for implementation & assessment of a CbA approach:
i. Implement: Technical Approach. M&S – application based – see 3 below.
ii. Assess: Process for application of CbA against framework (from review and / or developed as part of this work) against key performance indicators (KPIs).
3. Identify & Implement applications / case studies for CbA implementation based on 2.i.a. Suitability of candidate studies will be based on appropriate opportunities for application of M&S to certification. Minimum of 2 cases (TBC) – ideally across multiple disciplines / technologies. Studies to benchmark M&S approach(es) against physical tests. Key challenges to be addressed around concepts of Trust, V&V, and UQ as well as any other KPIs identified as part of 1 & 2 above.
4. Assess technical and procedural outcomes from 3 above, relative to outcomes from 2.ii & make technical and procedural recommendations for the application of M&S methods to the process of CbA.
This research project will enable the successful student to acquire valuable experience of engineering simulation, compliance assurance and industrial practice in complex system certification – all of which are highly sought after at a time when industrial primes are seeking to improve their technical and financial agility in new product development and introduction. Experience will be gained in advanced commercial simulation tools, validating their predictive capability against real data and process mapping / development through product development to certification. Ultimately the work will address a current gap in knowledge related to how exactly, current M&S practices can be aligned with developing needs for certification without physical testing. Key aspects of the work will cover questions around Trust (people & processes) as well as uncertainty quantification (UQ) and verification & validation (V&V),
Deadline : 30 June 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: Frameworks & Governance for the Certification by Analysis of Complex Systems.
Traditional approaches for the certification of complex systems typically require physical testing of finished products. This can be costly and time consuming leading to challenges in technical and commercial performance. Modelling and simulation (M&S) innovations could potentially address these challenges by using virtual rather than physical means through the process of Certification by Analysis (CbA). This project will examine the use of CbA as a means of achieving higher confidence levels within simulation-based methods with the ultimate aim of replacing physical tests with lower costs and shorter certification lead times while maintaining or improving levels of safety and quality.
Deadline : 30 June 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: Health Inequalities, Intersectionality and Domains of Inequality
The PhD will make use of several data sources which reveal important insights into the health of populations across Northern Ireland. These include (i) 2021 Census includes information on multiple population and housing at a very fine spatial scale, (ii) the Access to Healthy Assets and Hazards (AHAH) Index for NI (developed by OSNI) which captures information on health care facilities and other health assets such as green and blue spaces but also hazards which may impact negatively on health (e.g., fast food outlets), (iii) data on mortality by all causes and broad cause, (iv) benefit claimants data, and (v) a variety of datasets which are owned by the PHA (for example, hospital admissions linked to specific causes). The Multiple Deprivation Measure will provide context, although it is somewhat dated (released in 2017 based on earlier data).
The project will include the development of health inequalities measures which capture multiple population characteristics. Building on the ‘Ethnic Group Deprivation Index’ for England and Wales created by Prof Lloyd and colleagues (Lloyd et al., 2024), combinations of multiple variables will be assessed using the ‘Flexible Table Builder’ provided by NISRA. Given that it is not possible to obtain multiway tables without significant loss of geographical information it will be necessary to work with limited cross-tabulations and/or with sets of univariate tables which can be used to construct indices representing combinations of population, housing, and geographical characteristics. These outputs will be used to explore how far health inequalities in particular geographical areas night be associated with certain groups and potentially driven, or at least shaped, by social, economic and environmental context. In addition, there will be an assessment of how far the characteristics of the most deprived communities (e.g., the top 1%) differ from those who are deprived, but less intensely so (e.g., 9th or 10th percentile). The Census-based measures will be complemented by data on, for example, hospital admissions and environmental context and these will be used to assess how far, and in what ways, multiple health vulnerabilities combine in neighbourhoods. These results will be used to design policy guidance on how spatially targeted strategies might be adapted to reflect the intersecting challenges faced by individuals and communities across NI.
Deadline : 30 June 2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: Advanced Chemically Assisted Ion Beam Etching (CAIBE) for Wafer‑Scale Fabrication of Compound Semiconductor Lasers
This project will provide hands‑on access to new and state‑of‑the‑art equipment, enabling precise surface modification and nanofabrication capabilities that are rarely available within a single PhD programme. Alongside exceptional technical training, the studentship offers strong exposure to industrial R&D culture, project delivery and innovation pathways, opening up exciting career prospects across high‑value manufacturing, semiconductor and data storage industries, applied research centres, and advanced process development roles, as well as future opportunities in academia or technology‑led start‑ups.
Deadline : 12 June 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: Mental Health Priorities of People Living with Parkinson’s: a PD-LIFE project.
This PhD studentship forms part of the wider PD-LIFE programme, which consists of nine linked PhD projects across five universities on the island of Ireland. The student will join this broader initiative and benefit from cross-institutional mentorship, peer support from the wider cohort, and engagement with more than 40 researchers, clinicians, people with Parkinson’s, and advocacy partners involved in the consortium.
This PhD will be involved in the integration and analysis of mental health measures across related research strands, enabling multidisciplinary analyses of how stigma, exercise and dance interventions, and wearable technologies influence mental health outcomes. Policy briefs will translate these findings for policymakers, voluntary organisations, and advocacy groups across Northern Ireland and Ireland.
In addition, the project will be involved in the generation of state-of-the-art evidence on Parkinson’s and mental health through the development of interactive Evidence and Gap Maps (EGMs). These EGMs will synthesise and quality-assess international evidence on health, social, and technological interventions and outcomes relating to mental health in Parkinson’s, presented in an intuitive, interactive format. The work will support cross-border data sharing, identify critical evidence gaps, and provide a platform for targeted future research and funding applications.
Deadline : 29 May 2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Immunopeptidomic guided discovery and validation of novel myeloma-specific targets for CAR-T therapy
Multiple myeloma (MM) is an incurable blood cancer for which CAR T-cell therapies have shown significant promise; however, their effectiveness is limited by antigen escape and off-tumour toxicity. This project aims to identify and validate novel myeloma-specific targets for CAR-T therapy using an immunopeptidomics-guided approach. By profiling peptides presented on HLA molecules from myeloma cell lines and primary patient samples, and comparing them with healthy controls, tumour-specific antigens will be identified using high-resolution mass spectrometry and bioinformatic analysis. Lead candidates will be functionally validated through T-cell activation assays. Validated targets will then be tested in physiologically relevant 3D myeloma models that recapitulate the bone marrow microenvironment. This work will support the development of next-generation CAR-T therapies with improved specificity for multiple myeloma.
Deadline : 26 May 2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: Effective, Efficient and Responsible Analytics for Urban Mobility and Allied Applications
Today’s cities and dense urban areas generate massive amounts of data that are often put to use within machine learning pipelines to enable and augment smart city applications. The variety of data types across these streaming data sources brings in manifold technical challenges towards ensuring that such smart applications are able to function effectively, efficiently, and responsibly. This project will focus on some specific technical challenges in urban mobility and allied applications and consider developing bespoke analytics technologies that are able to identify meaningful trade-offs across the three considerations, while also being practically sensible within the context of those applications.
Traditional efficiency oriented optimizations may be viewed as focused towards building indexes that embed within themselves specific filter-refine heuristics, with the intent of quickly narrowing the remit of the analytics to subspaces to facilitate retrieving likely accurate results. Such indexing methods differ in structure across the various kinds of data (e.g., images, text, structured, graph data) and are largely tailored towards preserving effectiveness while improving efficiency. Given the heterogeneous data scenario and the consideration of responsible operation within the project, the research endeavour would target developing novel indexing methodologies that preserve responsible operation alongside effectiveness for various data types, and developing algorithms to ensure meaningful interplay between various indexing mechanisms to deliver fit-for-purpose analytics.
The project is distinctive in its focus in placing responsible operation as a consideration at par with efficiency and effectiveness. This is necessary so that the benefits of the analytics, when deployed within real-world scenarios, would be spread uniformly across deprived and prosperous locations and demographics. The candidate will have the opportunity to play an active decision-making role from the start and will have the freedom to shape decisions on identifying the particular application scenarios that will be targeted within the project.
Deadline : 22 May 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: Integrated surveillance of influenza viruses at the human-animal interface
This project, supported by recent €3million DAERA-DAFM funding (project ALLIES-Z-Path; All Island of Ireland Surveillance of Zoonotic Pathogens), seeks to understand IAV dynamics across the island of Ireland in human (farm staff and vets), livestock (pigs) and wildlife (mammals like cats and foxes), through integration of a multitude of approaches including virus isolation, genomic testing, and serological assays. You will be part of cross-border team working between AFBI, QUB, UCD and Teagasc to perform active surveillance of IAV infections, establish genomic maps of viral strains across the island, develop novel diagnostic assays, and facilitate international network harmonisation of testing protocols.
Deadline : 20 May 2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: Locating Prevention: A Spatial Examination of Youth Provision and Social Harm
The overarching aim of this doctoral project is to investigate the nature, distribution and potential impact of universal youth provision on local communities. Specifically, the study will examine:
• Spatial and temporal associations between:
o universal youth services and youth outcomes (e.g., health, education, justice).
o the effects of generic youth services on positive youth development
o variation in service availability (e.g., opening or closure of youth centres) and their subsequent influence on the surrounding area and outcomes
• Interactions between pro-social resources and social harms, particularly within communities disproportionately affected by conflict and violence.
Deadline : 18 May 2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: Enhancing opportunities for the meaningful participation of children and young people in the context of violence prevention
The primary supervisor will be Dr Colm Walsh, Senior Lecturer in Criminology and Co-director of the Centre for Evidence Based Youth Servies, and Dr Antoinette Keaney-Bell in the School of Social Sciences, Education and Social Work, Queen’s university Belfast. The studentship will also be supervised by Arlene Kee, co-director of the Centre for Evidence Based Youth Services.
This study will develop new empirical insights into the issues and test novel frameworks that enhance the voices of children and young people. The project offers the opportunity to engage with research of direct relevance to policy, practice and youth services.
While we are not stipulating the specific research theme, we are asking for proposals from interested candidates in line with the research centre’s aims and objectives.
Deadline : 18 May 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: 3D pre-clinical models of lymphoma to advance immunotherapies
Despite advances in the treatment of lymphomas such as diffuse large B-cell lymphoma and Hodgkin lymphoma, resistance to standard therapies remains a clinical challenge. A key driver of this resistance is impaired apoptosis which prevents activation of cell death pathways and is linked to poor patient outcomes. Building on promising preliminary data, this PhD project will investigate first-in-class small-molecule inhibitors developed at Queen’s University Belfast. These compounds have shown efficacy in lymphoma cells and highlights their potential as a novel therapeutic strategy. The central aim is to determine whether these novel drugs can enhance responses to existing and emerging treatments, including chemotherapy, monoclonal antibodies (e.g. rituximab), and bispecific antibodies such as glofitamab. Using traditional co-culture systems and cutting-edge three-dimensional lymphoma–immune cell models coupled with techniques such as image-enabled flow cytometry and transcriptomic profiling, the student will explore treatment responses, immune cell interactions, and underlying molecular mechanisms. This interdisciplinary project offers the opportunity to contribute to translational cancer research, with the potential to inform more effective combination therapies and improve outcomes for patients with treatment-resistant lymphoma
Deadline : 18 May 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: Digital Twin Channel for Energy-Efficient Beam Management in Multi-Band Radio Access Networks
The project will be conducted at Queen’s University Belfast, in collaboration with BT, under the EPSRC Industrial Doctoral Landscape Awards (IDLA) programme. The outcomes will contribute directly to 6G standardisation and support BT’s long-term network strategies.
The student will:
1. Collect and process multi-band propagation data using advanced channel sounding facilities at the Centre for Wireless Innovation (CWI), combined with high-resolution LiDAR scanning and ray-tracing.
2. Design a digital twin channel (DTC) framework by fusing physics-based propagation models with data-driven learning, developing lightweight, adaptive algorithms for continuous real-time updates and validating them against diverse datasets.
3. Exploit the DTC for training-free, energy-efficient beam management in multi-band RANs, creating algorithms for rapid beam selection, alignment, and tracking.
Through this PhD study, the successful candidate will develop skills in experimentation, data analysis and modelling, digital twin/AI/machine learning-enabled wireless communications. Additional benefits of this industry-supported studentship include an enhanced stipend, access to state-of-the-art laboratories and expertise, and hands-on experience in academia-industry collaboration, with at least 3 months of placement at BT.
Deadline : 15 May 2026
About Queen’s University Belfast, United Kingdom: Official website
Queen’s University Belfast (informally Queen’s or QUB) is a public research university in Belfast, Northern Ireland, United Kingdom. The university received its charter in 1845 as “Queen’s College, Belfast” and opened four years later.
Queen’s offers academic degrees at various levels, with approximately 300 degree programmes available. The current president and vice-chancellor is Ian Greer. The annual income of the institution for 2019–20 was £400 million of which £88.7 million was from research grants and contracts, with an expenditure of £372.7 million.
Queen’s is a member of the Russell Group of research intensive universities, the Association of Commonwealth Universities, the European University Association, Universities UK and Universities Ireland. The university is associated with two Nobel laureates and one Turing Award laureate.
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