Are you holding Master’s degree and looking for fully funded PhD positions? Queen’s University Belfast, Northern Ireland invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Discrete Event Modelling and Digital Twinning for Security of Supply in Food Production
Summary of PhD Program:
Food production and distribution is becoming a considerable challenge in a world where climate change / weather patterns are affecting plant growing cycles. Consumer demand cycles are also affecting food production as consumers expect seasonal items such as fruits and vegetables, to be available 12 months a year. Commercial challenges associated with heightened levels of competition and political instabilities around issues such as Brexit are also on the increase.
Application Deadline: Open until filled
2. Fully Funded PhD Position in Artificial Intelligence-Driven Modelling and Prediction of PET Behaviour in Stretch Blow Moulding Processes
Summary of PhD Program:
This project investigates how artificial intelligence (AI)—particularly machine learning techniques—can be used to model and predict the mechanical behaviour of PET during SBM. Instead of relying solely on complex constitutive equations or finite element simulations, we will train AI models to learn directly from experimental or simulated data, identifying patterns and predicting outcomes with high accuracy.
Application Deadline: Open until filled
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3. Fully Funded PhD Position in Artificial Intelligence-Driven Modelling and Prediction of PET Behaviour in Stretch Blow Moulding Processes
Summary of PhD Program:
The stretch blow moulding (SBM) process is widely used in the manufacturing of polyethylene terephthalate (PET) bottles, where precise control of material behaviour is crucial to ensure product quality and efficiency. Traditional modelling techniques often fall short in capturing the complex, nonlinear interactions within the process. This research proposes the use of artificial intelligence (AI), particularly machine learning models, to accurately predict and simulate PET behaviour during SBM.
Application Deadline: Open until filled
4. Fully Funded PhD Position in Development of an In-Orbit Composite Repair System Using Self-Healing Materials and Multiphysics Modelling
Summary of PhD Program:
Rising satellite numbers in LEO, made from lightweight composites, demand sustainable operations. These materials are vulnerable to MMOD, thermal cycling, and radiation, which reduce longevity and fuel space debris. While IOSAM enables maintenance, current methods only refuel and replace components. This PhD project introduces an innovative in-orbit repair system that integrates self-healing composites with robotic assistance, validated through Multiphysics modelling and experimental testing. Self-healing materials (e.g., microcapsule-based polymers and ceramics) autonomously mend damage, while robotics enhance repairs. The project aligns with the UK Space Industrial Plan and leverages QUB’s expertise in composites and space technology.
Application Deadline: Open until filled
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5. Fully Funded PhD Position in Development of an In-Orbit Composite Repair System Using Self-Healing Materials and Multiphysics Modelling
Summary of PhD Program:
Rising satellite numbers in LEO, made from lightweight composites, demand sustainable operations. These materials are vulnerable to MMOD, thermal cycling, and radiation, which reduce longevity and fuel space debris. While IOSAM enables maintenance, current methods only refuel and replace components. This PhD project introduces an innovative in-orbit repair system that integrates self-healing composites with robotic assistance, validated through Multiphysics modelling and experimental testing. Self-healing materials (e.g., microcapsule-based polymers and ceramics) autonomously mend damage, while robotics enhance repairs.
Application Deadline: Open until filled
6. Fully Funded PhD Position in Valorisation of Livestock Waste Streams – Scalability of Material Recovery and Bioavailability of Recovered Compounds
Summary of PhD Program:
This project will focus on 1) chemical recovery of valuable compounds from global poultry and porcine waste or low-value by-products, 2) validation of the recovered material for applications in a selection of sectors (packaging, food additive, health) and 3) determining if their recovery and reuse positively impacts carbon and energy footprints. The PhD candidate will develop skillsets in Materials, Public Health Nutrition and Life Cycle Assessment. The project is funded via QUB’s Scarce Skills Doctoral Training Programme with industrial sponsorship from Moy Park a subsidiary of Pilgrim’s Pride.
Application Deadline: Open until filled
7. Fully Funded PhD Position in Valorisation of Livestock Waste Streams – Scalability of Material Recovery and Bioavailability of Recovered Compounds
Summary of PhD Program:
This project will focus on 1) chemical recovery of valuable compounds from global poultry and porcine waste or low-value by-products, 2) validation of the recovered material for applications in a selection of sectors (packaging, food additive, health) and 3) determining if their recovery and reuse positively impacts carbon and energy footprints. The PhD candidate will develop skillsets in Materials, Public Health Nutrition and Life Cycle Assessment. The project is funded via QUB’s Scarce Skills Doctoral Training Programme with industrial sponsorship from Moy Park a subsidiary of Pilgrim’s Pride.
Application Deadline: Open until filled
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8. Fully Funded PhD Position in Digital Twins as a Technology Enabler for Biomedical Training and Education
Summary of PhD Program:
The biomedical field relies heavily on hands-on and real-time situational scenario training to educate and assess its practitioners (doctors, nurses, technicians, etc.) These assessments are typically conducted by experienced practitioners, which significantly detracts from the time they can spend in the field. This cross-disciplinary project explores the potential of creating biomedical Digital Twins to both create simulation environments and perform statistically reliable and educationally useful training and assessments for potential biomedical practitioners. There is further potential to introduce an AI element to both the scenarios and the assessments.
Application Deadline: Open until filled
9. Fully Funded PhD Position in Novel Protein Based Smart Composites for Wearable Electronics and Soft Robotics
Summary of PhD Program:
The growing demand for flexible, sustainable, and high-performance materials is driving innovation in wearable electronics and soft robotics. This project explores the development of novel smart composites by combining natural proteins and emerging 2D multifunctional nanomaterials known for their exceptional electrical conductivity and mechanical properties. By leveraging the natural flexibility and biocompatibility of proteins with the functional versatility of functional nanomaterials, the project aims to create eco-friendly materials that respond to mechanical or electrical stimuli.
Application Deadline: Open until filled
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10. Fully Funded PhD Position in Digital Twins as a Technology Enabler for Biomedical Training and Education
Summary of PhD Program:
The global rise in breast cancer has increased the demand for safer, more effective reconstruction methods. Capsular contracture remains a significant complication, causing discomfort and frequent revision surgeries. Auxetic materials, with their unique mechanical behavior, offer a novel solution to this persistent issue. Recent advances in 3D printing and biodegradable polymers make this the ideal time to develop custom auxetic meshes, aligning the project with cutting-edge biomedical innovation.
Application Deadline: Open until filled
11. Fully Funded PhD Position in Novel Protein Based Smart Composites for Wearable Electronics and Soft Robotics
Summary of PhD Program:
This PhD project will develop next-generation smart composites by combining natural proteins with cutting-edge 2D nanomaterials known for their outstanding electrical conductivity and tunable properties. These materials will be designed to bend, stretch, sense, and respond—ideal for applications in flexible sensors, soft actuators, and energy-harvesting devices. You will be at the heart of an interdisciplinary effort, bridging materials science, mechanical engineering, bioengineering, flexible electronics to address real-world challenges in wearable tech and sustainable design.
Application Deadline: Open until filled
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12. Fully Funded PhD Position in Multi-Stage Simulation Framework for Metal Forming Processes
Summary of PhD Program:
The aim of this project is to develop a multi-stage finite element simulation framework for aerospace metal forming processes, enabling the seamless integration of different forming stages. The overall forming processes typically involve a number of distinct phases, each affecting the material microstructure, stress state, mechanical properties and geometry of the final product. However, existing simulation techniques typically focus on individual stages in isolation, leading to inefficiencies and inaccuracies in predicting final component performance.
Application Deadline: Open until filled
13. Fully Funded PhD Position in Multi-Stage Simulation Framework for Metal Forming Processes
Summary of PhD Program:
The aim of this project is to develop a multi-stage finite element simulation framework for aerospace metal forming processes, enabling the seamless integration of different forming stages. The overall forming processes typically involve a number of distinct phases, each affecting the material microstructure, stress state, mechanical properties and geometry of the final product. However, existing simulation techniques typically focus on individual stages in isolation, leading to inefficiencies and inaccuracies in predicting final component performance.
Application Deadline: Open until filled
14. Fully Funded PhD Position in AI-Augmented Engineering Design Process
Summary of PhD Program:
AI technologies offer a great chance to support design process activities and decisions, but the challenge is identifying, combining, and implementing the right technologies. This doctoral research requires interacting with engineering design professionals through interviews and surveys. The resulting empirical data will be analysed to guide the research. Emergent AI technologies will be explored and identified to create a theoretical, computational framework that uses AI capabilities to augment design engineers’ abilities. The theoretical framework will be implemented using data science knowledge and validated using a case study to provide the necessary basis for refinement.
Application Deadline: Open until filled
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15. Fully Funded PhD Position in Time-dependent climate impact of ruminant livestock farming and associated supply chains
Summary of PhD Program:
This proposed project will address this knowledge gap, as well as considering the impacts from and on associated carbon emissions from activities outside the farm gate, such as displacement of fossil fertilisers and effects on supply chains. A further area requiring attention arises from the fact that most previous carbon assessments of agricultural systems have focused on global warming potential where all greenhouse gases are assumed to be released at the start of the assessment. However, this relationship may be questioned due to the time lag between gas capture and release.
Application Deadline: Open until filled
16. Fully Funded PhD Position in Time-dependent climate impact of ruminant livestock farming and associated supply chains
Summary of PhD Program:
This proposed project will address this knowledge gap, as well as considering the impacts from and on associated carbon emissions from activities outside the farm gate, such as displacement of fossil fertilisers and effects on supply chains. A further area requiring attention arises from the fact that most previous carbon assessments of agricultural systems have focused on global warming potential where all greenhouse gases are assumed to be released at the start of the assessment. However, this relationship may be questioned due to the time lag between gas capture and release.
Application Deadline: Open until filled
17. Fully Funded PhD Position in AI-Driven 3D Scanning for Intelligent Quality Inspection in Advanced Manufacturing
Summary of PhD Program:
This PhD will explore the development of an AI-integrated 3D scanning system capable of intelligently adjusting its parameters in real time to improve defect detection accuracy. By embedding intelligence into the scanning workflow, this system will push inspection beyond the limitations of fixed hardware configurations.
Application Deadline: Open until filled
18. Fully Funded PhD Position in AI-Driven 3D Scanning for Intelligent Quality Inspection in Advanced Manufacturing
Summary of PhD Program:
This project investigates how artificial intelligence can revolutionise 3D scanning for manufacturing quality control and focus on developing an integrated AI-driven framework that transforms 3D scanning into a smart inspection system —making it faster, smarter, and more precise in detecting complex, micro-scale defects in industrial components.
Application Deadline: Open until filled
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19. Fully Funded PhD Position in Novel Feature-Based Thermal Topology Optimisation
Summary of PhD Program:
This PhD will improve upon the work by Shannon et al. and apply this to the topology optimisation of thermal problems. Given the reduction in the number of design variables, it becomes possible to leverage gradient-enhanced surrogate modelling techniques within the optimisation. This not only guarantees a global optimum but also provides a mechanism by which multiple objectives and constraints can be included.
