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PhD Degree (16)-Fully Funded at Queen’s University Belfast, United Kingdom

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

The project offers the opportunity to address a high-impact, real-world industrial challenge while developing advanced technical skills in AI, data science 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 Collaborative Training Partnership (CTP) is committed to equality, diversity, and inclusion, welcoming applications from all backgrounds and fostering an environment where every researcher can thrive.
The studentship is suited to candidates from data science, computer science, engineering, supply chain analytics or related quantitative disciplines who have an interest in applying advanced methods to real industry challenges. The student will be enrolled at Queen’s University Belfast, with flexible working arrangements across the four-year programme, alongside regular engagement with industrial partners and visits to food manufacturing sites.
This studentship forms part of a BBSRC-Food Consortium Collaborative Training Partnership (CTP) Food Consortium Collaborative Training Partnership from Campden BRI. In addition to doctoral research, the CTP offers cohort-based training within a community of up to 240 researchers working across food systems research, an industry placement, training in innovation, entrepreneurship and commercialising ideas via participation in the Young Entrepreneurs Scheme (www.yescompetitions.co.uk) during the second year. The programme is designed to build strong technical capability, professional networks and wider experience beyond a traditional PhD, supporting future careers in either industry or academia.

Deadline : 31 August 2026

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(02) PhD Degree – Fully Funded

PhD position summary/title: Novel biomarkers for human gut AMPK activation using AI-driven multi-omics analysis

1. Aggregating metabolomic, proteomic, phosphoproteomic, and transcriptomic datasets from previous human, animal, and cell studies involving known AMPK activators (e.g., metformin, salicylate, dietary phytochemicals) and controls. These diverse datasets will be integrated into a centralized database where raw and processed data are stored in structured formats, meticulously annotated with experimental metadata.

2. The AI-driven analysis will then proceed in three key stages.
(a) supervised machine learning models, such as Random Forest and LASSO regression, will be employed to analyse this multi-omics input. Their goal is to perform classification and identify a shortlist of output features—changes in specific metabolites, protein phosphosites, and genes—that are most strongly predictive of AMPK activation.
(b) The robustness of these AI-identified outputs will be validated using unsupervised learning techniques like UMAP to confirm they can consistently cluster samples by AMPK status.
(c) These top candidate biomarkers will be integrated into a simple, interpretable model (e.g., a logistic regression formula) to generate a single, quantitative “AMPK Activation Score.”

3. This validated methodology and the resulting biomarker panel or score will be directly applied to existing or new samples from human intervention studies. This will confirm the utility of these AI-identified outputs for assessing the effects of nutritional interventions, foods, and other compounds on AMPK activation and energy utilization in human subjects.

Deadline : 20 July 2026

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(03) 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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(04) PhD Degree – Fully Funded

PhD position summary/title: LIFELANGS Living Observatory of Shared Languages & Identities: People, Places, Purposes

The LIFELANGS Living Observatory will provide funding. The Scholarship funding includes home-level tuition fees for three years, and an annual stipend of £16,000 to support living costs while undertaking Doctoral research.

Successful candidates are expected to undertake full-time working hours on the project. There may be scope to further supplement income through teaching activities, should opportunities arise.

We are seeking applicants who are motivated to join the LIFELANGS team and who are committed to the aims of the project. We welcome applications from all eligible candidates, including those from diverse and non-traditional backgrounds. We encourage applications from people who are under-represented in higher education or research, including those with experience of forced migration, or people with humanitarian protection, applicants with a disability, career pathways have taken an unconventional route. We value lived experience, community engagement, and alternative career histories, and we recognise that talent can develop in many ways.

Deadline : 9 July 2026

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(05) PhD Degree – Fully Funded

PhD position summary/title: LIFELANGS Living Observatory of Shared Languages & Identities: Shared Resources

The LIFELANGS Living Observatory will provide funding. The Scholarship funding includes home-level tuition fees for three years, and an annual stipend of £16,000 to support living costs while undertaking Doctoral research.

Successful candidates are expected to undertake full-time working hours on the project. There may be scope to further supplement income through teaching activities, should opportunities arise.

We are seeking applicants who are motivated to join the LIFELANGS team and who are committed to the aims of the project. We welcome applications from all eligible candidates, including those from diverse and non-traditional backgrounds. We encourage applications from people who are under-represented in higher education or research, including those with experience of forced migration, or people with humanitarian protection, applicants with a disability, career pathways have taken an unconventional route. We value lived experience, community engagement, and alternative career histories, and we recognise that talent can develop in many ways.

Deadline : 9 July 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 : 30 June 2026

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(07) PhD Degree – Fully Funded

PhD position summary/title: CDT Fort – Trustworthy AI for Secure Future Open Networks Research Theme

In the context of future open NoN-environments, interconnected or integrated network components contributed from homogeneous or heterogeneous operators (terrestrial, space, cloud/edge hyperscale providers) are expected to be managed through distributed AI-based network intelligence with their own local operation policies and resolve possible AI-conflicts.

In addition to the technical challenges of end-to-end performance optimality and consistency through harmonised AI decision-making, there are also numerous research questions about trustworthy AI for network security; for instance, how can AI accurately detect and prevent cyber-attacks in future open networks and how to ensure the AI component has not itself been attacked?

Deadline : 30 June 2026

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(08) PhD Degree – Fully Funded

PhD position summary/title: CDT Fort – Space/Terrestrial Comms and Security Research Theme

Autonomous operation of NoN with distributed cloudnative architecture relies on an Orchestrator and Service Management system and sub-systems, typically across multiple autonomous operators, either trusted or untrusted.

In space communication infrastructures (satellite/UAV/High-altitude platform systems) there can be a wide variety of open integration options with terrestrial network platforms, introducing distinct research challenges in performance, energy efficiency and security and privacy in different scenarios.

Network resources provided by global satellite communication systems can be simultaneously shared by multiple regional terrestrial networks, and hence there are key research questions on how we can engineer novel secure/resilient and high performing solutions against potential attacks whilst optimising the system performance..

Deadline : 30 June 2026

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(09) PhD Degree – Fully Funded

PhD position summary/title: CDT Fort – AI-assisted Physical Layer Security Research Theme

Traditional approaches in research and development of the physical layer of communication systems and their security rely on rigorous mathematical modelling of the system and environment (e.g. channel modelling and heuristic systems and algorithms synthesis).

Such approaches inevitably rely on various simplifications that undermine the fidelity of the models and the efficiency of the designs in highly dynamic wireless environments. As the complexity of the environment, e.g. the propagation and channel, and the demand for more efficient and adaptable/reconfigurable physical layers, increases in the context of 5G and 6G, traditional approaches become less effective.

Emerging AI/ML technology offers an entirely new framework that is data-driven for use in the ML-based analysis and design of secure physical layers for future networks. In addition, the nature of physical layer security solutions is characterized by increased ambiguity owing to the presence of attackers whose behaviour cannot be readily modelled but can be learned from the available data. Hence, AI assisted approaches will be investigated to address the research challenges in this theme.

Deadline : 30 June 2026

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(10) PhD Degree – Fully Funded

PhD position summary/title: CDT Fort – Secure and Trustworthy Hardware Research Theme

We need to ensure that the hardware that will underpin future comms infrastructure is secure and trustworthy. Cyber vulnerabilities in hardware cannot be easily patched (unlike software).

An open research challenge is how to deliver trusted and resilient hardware for future fully virtualised communications systems.

Research into postquantum cryptography and linking advanced cryptographic approaches (e.g., identity-based encryption) and hardware security to achieve hardware-rooted security could provide verifiability, anti-tampering, anti-counterfeiting properties to future communication infrastructures.

Deadline : 30 June 2026

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(11) PhD Degree – Fully Funded

PhD position summary/title: Hybrid Co-packaging of a PIC with Miniature Free-Space Optical Elements

Integrating photonic integrated circuits (PICs) with miniature free-space optical elements is crucial for creating next-generation functional optoelectronic modules that can reliably operate in real-world conditions. Achieving precise alignment and robust bonding of tiny components like fast axis collimators (FACs) and fibre array units (FAUs) to the PIC requires sub-micron positional accuracy, presenting significant technical challenges. However, mastering this capability will unlock the potential to develop innovative proof-of-concept demonstrators and enable low-volume production runs of advanced photonic assemblies. This represents a major milestone in integrated photonic design and manufacturing.

Deadline : 30 June 2026

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(12) PhD Degree – Fully Funded

PhD position summary/title: Project TEAR: Measuring vitreoretinal traction during vitrectomy

The ability to directly measure the instantaneous forces generated by vitreoretinal cutters on the retina could open game-changing innovations for eye surgery. Vitrectomy (i.e. removal of the vitreous gel from the eye) is an established and effective therapy for a range of common blinding retinal diseases including retinal detachment and macular hole. The number of operations carried out is rapidly rising with around 1 million vitrectomies carried out globally and is set to exponentially increase with population ageing. One of the commonest problems of vitrectomy surgery is retinal tear formation, which leads to recurrent retinal detachment requiring repeat surgery and reduced vision in up to 10-15% of cases.

The vitreous gel which is removed during surgery is attached to the retina and therefore safe vitrectomy requires cutters which remove the vitreous gel with a small a force as possible to avoid causing tears on the retina. Currently no technology exists to directly measure the instantaneous force generated by vitreoretinal cutters during surgery, yet this technology may hold the key to developing the next-generation of ophthalmic instruments to treat blindness and increase surgical success. 

Deadline : 30 June 2026

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(13) 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.

Deadline : 30 June 2026

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(14) 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.

Deadline : 30 June 2026

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(15) 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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(16) PhD Degree – Fully Funded

PhD position summary/title: Renewables linked Energy Storage technologies to support CO2 utilisation and BECCS Systems

The EPSRC and BBSRC Centre for Doctoral Training in Negative Emission Technologies for Net Zero (CDT in Net2Zero) is an equal partnership between Aston University (lead), University of Nottingham, Queen’s University Belfast, and University of Warwick. Through cutting-edge research and interdisciplinary collaboration, this CDT aims to tackle global challenges related to climate change and sustainability. Our four-year doctoral programme is training the next generation of research leaders tasked to remove greenhouse gases from the environment. The CDT in Net2Zero focuses on the use of biomass to replace fossil fuels and removal (or capture) of CO2 from the atmosphere, with the potential to create new sources of fuels and chemicals. The centre’s expertise covers Direct Air Capture and CO2 Storage (DACCS), CO2 utilisation, biochar synthesis and utilisation, biomass transition to materials and chemicals, and biomass to energy with carbon capture and storage (BECCS) etc. Through our research training programme, you will be able to • develop a network with doctoral researchers, academia, government and industry. • Access to cutting-edge facilities and opportunities for international collaboration, preparing you for a successful career in academia, industry, or policymaking. • Carry out a training programme covering practical engineering, communication, entrepreneurship, and business skills to prepare students for diverse sectors. • The CDT facilitates direct contact between students, industrial partners, policy makers, and third sector organisations to support future careers. You will have the opportunity of a three month placement with industry, research collaborators or policymakers.

Deadline : Open until filled

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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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