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PhD opportunities: Kingston University

Compare 100 doctoral research opportunities connected with Kingston University, including project summaries, funding and application deadlines.

Built Environment

A framework for construction waste minimisation in lean projects – a life cycle approach

Kingston University

About the Project Construction waste can take many forms including holding excess inventory of materials, unnecessary movements of construction operatives and vehicles to/from/within a site, idle time between operations, defective work etc. (Formoso et al., 2020). Regardless of the type of construction waste, its impact on project performance is adverse and can be substantial.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

AI-Driven Cloud Security: Advancing Sustainable and Zero Trust Frameworks through Automation

Kingston University

About the Project We are seeking a PhD candidate to join our cutting-edge research projects focused on developing innovative solutions to enhance cyber security in cloud environments and edge computing platforms. These solutions involve AI-driven continuous monitoring systems designed for real-time security incident detection in zero trust environments.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

AI-Driven Wireless Communication for Remote Surgery: Enabling Ultra-Reliable and Low-Latency Healthcare Systems

Kingston University

About the Project This doctoral research explores the integration of Artificial Intelligence and next-generation wireless communication to enable remote and robotic surgery with ultra-reliable and low-latency connectivity. Remote surgery is a transformative application in 6G-enabled healthcare, empowering surgeons to perform precise operations from distant locations using robotic systems.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Machine Learning

AI-Enhanced Iris Recognition: Transforming Biometric Security for a Safer World

Kingston University

About the Project This PhD opportunity explores the exciting intersection of AI and Iris Recognition, aiming to revolutionize biometric security for a safer world. In an era where security threats are continually evolving, biometric authentication methods have gained prominence as robust safeguards for protecting sensitive information and assets. Among these methods, iris recognition stands out as an exceptionally secure and efficient approach.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

AI-Enhanced Robotic Unfolding for Sustainable Textile Recycling – with a Focus on Energy Minimisation

Kingston University

About the Project The textile industry is a significant contributor to global environmental waste, with millions of tons of discarded fabrics being sent to landfills annually [1]. Although recycling textiles can mitigate this issue, the current processes are labour-intensive, requiring human intervention for tasks such as sorting, unfolding, and classifying fabrics.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Built Environment

AI-Human Co-Working Models for City-Scale Energy-Saving Transformation in Existing Building Stock

Kingston University

About the Project The decarbonisation of the built environment presents a major challenge for local governments, particularly in cities with large, aging housing stocks and diverse community needs. Traditional approaches to building retrofit are resource-intensive, slow, and often fail to engage residents meaningfully or at scale.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Active Sensing through Learning: Generalising Perception Across Tasks, Sensors, and Robots

Kingston University

About the Project Modern robotic systems are increasingly used in applications in uncertain environments. To perform tasks in such scenarios, robots need more than just motion planning and control—they must also make informed decisions about how and where to sense their environment to support effective operation.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Adaptive AI for Autonomous Drone Systems

Kingston University

About the Project Autonomous drone systems are expected to play an increasingly important role in applications such as environmental monitoring, infrastructure inspection, disaster response, precision agriculture, and search and rescue. As these systems become more capable and are deployed in increasingly complex environments, they must operate safely, efficiently, and collaboratively while adapting to uncertain, dynamic, and partially observable conditions.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Computer Science

Adaptive Biofeedback-Driven Gamified Therapy in XR for Mental Health Support

Kingston University

About the Project This project proposes the development of an adaptive, gamified therapeutic platform using Extended Reality (XR) to support mental health interventions. The focus is on integrating real-time biofeedback, augmented reality (AR), and game-based therapeutic tasks into a clinically-informed digital experience.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Automotive Engineering

Advanced Composites Structures FEA/CFD Modelling Design and Manufacturing

Kingston University

About the Project Introduction The most common composite material consists of carbon or glass fibres that are bonded together with a polymer matrix and are often referred to as carbon or glass fibre reinforced plastics (CFRP or GFRP). The combination of being both light weight and mechanically strong makes them very versatile materials with applications such as in plane parts, cars, boats, wind turbines, water tanks, construction materials, light bridges etc.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Aerospace Engineering

Advanced Propulsion Systems and Ignition Technologies for Next-Generation Aerospace Applications

Kingston University

About the Project The project focuses on the development and investigation of advanced propulsion systems and ignition technologies aimed at improving the efficiency, reliability, safety, and environmental performance of next-generation aerospace and unmanned aerial vehicle (UAV) platforms.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Electrical Engineering

Advanced robot motion planning in task-constrained applications

Kingston University

About the Project Project description (max 700 words) The research project focuses on motion planning for advanced robotic systems, with a main attention on two complementary strands: 1. Underactuated Mechanical Systems The study of underactuated systems represents a significant challenge in robotics, given the limitation of the number of actuators with respect to the degrees of freedom.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Acoustics Engineering

Advancing Sustainable Aviation Fuels through Fuel Design, Combustion and Emissions Characterisation

Kingston University

About the Project Sustainable Aviation Fuel (SAF) offers a key pathway for aviation decarbonisation by enabling the use of renewable, waste-derived carbon sources and captured CO₂ to produce jet fuel alternatives. As a drop-in replacement for conventional Jet A-1 fuel, SAF is compatible with existing aircraft and infrastructure while offering significant life-cycle greenhouse gas emission reductions.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Aerospace Engineering

Aerodynamic and Aeroelastic Analysis of Bio-Inspired Flexible Wings

Kingston University

About the Project Bio-inspired flight has attracted increasing attention in recent years, particularly through the study of bat wings, which demonstrate remarkable aerodynamic performance, agility, and efficiency at low flight speeds. Unlike conventional rigid wings, bat wings feature flexible structures and dynamic shape-changing capabilities, allowing them to adapt continuously to changing flight conditions.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Aerospace Engineering

Aerothermal investigation on the effect of in-service burnout on the leakage flows over high-pressure turbine blade tip

Kingston University

About the Project The aero-industry is required to achieve net-zero emissions by 2050. Therefore, it is important to continuously advance its propulsion technology to reduce its fuel burn and achieve this target by 2050. One approach to fulfil this target includes advancing the current engines for the conventional aircrafts. This project seeks to study the tip leakage flows over the unshrouded blades of high-pressure turbines in gas turbine engines.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Data Analysis

Analysis of Particulate Matter structure

Kingston University

About the Project This multidisciplinary project extends previous research at Kingston University aimed at better understanding the structure and nature of particulate matter particles.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Built Environment

Application of Structural Health Monitoring to concrete structures with non-metallic reinforcement.

Kingston University

About the Project Application of non-metallic reinforcement, such as Fiber Reinforced Polymers (FRP), is getting increasingly popular due to reduced risk of corrosion, high strength, no interference with electro-magnetic fields and other positive characteristics. At the same time a relatively brittle way of failure and lack of sufficient warning before destruction is forcing structural designers to be more conservative and to avoid using the full capacity of the FRP material.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Built Environment

Assessing and improving the productivity of construction labour through resilient interventions against stagnation (in respect of the evolving perspectives of the impacts of pandemics like the coronavirus)

Kingston University

About the Project The construction sector, covering other professional services, accounts for a substantial value addition of every economy globally and generates substantial incomes in export earnings, especially in advanced economies. This important contribution to the national purse is on the backbone of a fairly fragmented sector characterised by a multiplicity of firms accounting for almost all the skills and output in this industry.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Electronic Engineering

Automatic inspection of cement pavement health condition using GPR

Kingston University

About the Project The health and structural integrity of cement pavements are critical to ensuring road safety, longevity, and cost-effective maintenance. Traditionally, the inspection of a pavement’s condition relies on labor-intensive manual methods, which can be time-consuming, costly, and prone to human error.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Autonomous Knowledge Acquisition and Semantic World Modelling for Language-Grounded Human-Robot Collaboration

Kingston University

About the Project Human-robot collaboration requires robots to perceive, understand and reason about the world in ways that support natural interaction with people. While recent advances in computer vision and vision-language models have significantly improved object detection and language grounding, most robotic systems remain limited to recognising predefined objects using static knowledge representations.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Civil Engineering

Behaviour of FRP reinforced shear walls under cyclic loading

Kingston University

About the Project In the last 2 decades fibre reinforced polymer (FRP) materials have become a suitable material for strengthening of existing Civil Engineering structures for their resistance to corrosion and high strength among other excellent material properties. FRP internal reinforcement is also becoming the subject of research in reinforced concrete elements as its shows promising results under static and cyclic loading.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Civil Engineering

Behaviour of shear walls consisting of steel frame and FRP infill plate.

Kingston University

About the Project Thin infill plate shear walls are getting more popular especially for high rise buildings. Their low weight and high ultimate capacity are extremely beneficial for many modern buildings. Existing research in this area is focusing mainly on systems with steel infill plates or hybrid ones, consisting with thin steel plate laminated with FRP layers.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Bioinformatics

Big data analytics and visualization for personalized Type 2 Diabetes treatment and management support

Kingston University

About the Project Type II (T2DM) is a chronic, multifactorial disease resulting in severe complications that lead to increased morbidity and even death. Due to the multifactorial pathology of the disease the interventions to treat T2DM and prevent complications may include lifestyle interventions, oral pharmacotherapy and self-injection with insulin.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Architecture

Building Sustainability and Occupant Well-being: Data-Driven Design Optimization

Kingston University

About the Project In an era where the quest for sustainability intersects with the imperative of human well-being, the building sector stands at a critical juncture [1,2]. The project titled "Building Sustainability and Occupant Well-being: Data-Driven Design Optimization " embarks on an ambitious journey to unravel and synergize these two pivotal aspects of modern built environments.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Civil Engineering

Building flexibility into long-term water resources system planning and management strategies

Kingston University

About the Project Sustainable water resources planning, and management policies need to consider the impact of future changes due to factors like geomorphologic processes, aging infrastructure, demand shifts or variability of water supplies. However, whilst change over time is certain, the extent to which it will affect the physical and social dimensions of the water resource systems is uncertain.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Chemical Physics

CFD Study of Fires in Mechanically Ventilated Nuclear Compartments

Kingston University

About the Project Fire remains a major risk in nuclear power plants (NPPs). Fire safety research therefore plays an important role in developing fire simulation tools for risk assessments in nuclear facilities. Most of the fire research literature is mainly concerned with (1) under-ventilated compartment fires (typical of normal houses and buildings where the availability of air controls the fire dynamics) and (2) well-ventilated fires found in outdoor accidental scenarios.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Data Science

Carbon- and Cost-Aware Data Engineering for Lakehouse Platforms

Kingston University

About the Project Modern analytics and artificial intelligence increasingly rely on lakehouse platforms such as Databricks and Snowflake, which combine large-scale data storage, transformation and analytics within a unified architecture. As organisations migrate more workloads to these platforms, the energy, carbon and financial cost of the underlying data-engineering pipelines is becoming a primary concern.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Human Computer Interaction

Changing How We See the World: Inclusive Augmented Reality for Health and Wellbeing

Kingston University

About the Project This research offers an exciting opportunity to explore how Augmented Reality (AR) can be designed and applied to improve health, wellbeing, and inclusion. AR overlays interactive digital content on the real world, providing immersive yet grounded experiences that can engage, support, and include individuals who might otherwise face barriers to participation.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Competency, Skills, and AI in Project Leadership: Bridging Knowledge and Productivity Gaps for 21st-Century Workforce Readiness in the Construction Industry

Kingston University

About the Project The UK construction industry faces persistent challenges of productivity stagnation, skill shortages, and fragmented professional development pathways (Farmer, 2016; Construction Leadership Council, 2023).

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Automotive Engineering

Composite Materials with integrated ‘‘massless’’ energy storage for use in civil and mobile applications such as electric vehicles, drones, and composite planes

Kingston University

About the Project Nowadays in electric cars, batteries, contribute a large part of the vehicle's weight, which means additional footprinting and load bearing function. On the other hand, an integrated structural and supercapacitor system is one that works with a double function as the power source and as part of the structure a car/drone/plane body.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Computational Pathology using Artificial Intelligence

Kingston University

About the Project Computational Pathology aims to use Artificial Intelligence (AI) to analyse and interpret pathology data (tissue Images), to enhance diagnosis and improve precision, improve treatment decisions and eventually reduce the workload of pathologists. This important field of Medical Image Analysis is also combined with other health-related data, from clinician reports, genomics and longitudinal studies.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Chemical Engineering

Computational Prediction of Minimum Ignition Energy for Hydrogen and Mixed Fuel Systems at Elevated Pressures

Kingston University

About the Project Hydrogen is central to global decarbonisation plans, with demand projected to grow substantially as industries move away from fossil fuels. However, hydrogen's exceptionally low minimum ignition energy (MIE), around 0.02 mJ, roughly 15 times lower than methane, creates serious safety challenges for its storage, transport, and industrial use at elevated pressures and temperatures.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Construction, characterisation and analysis of results from a liquid fingerprinting system using ultrasound

Kingston University

About the Project There is a need to be able to identify liquids in situ using small samples and with high reliability. The applications for such a system are very wide and range from validation and quality assurance in process industries, such as for drinks and fuels, for authenticating perfume compositions, analysis of water in a wide range of environments, as well as for process liquids such as oils or lubricants.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Context-Aware Reasoning and Interactive Decision-Making for Human-Robot Collaboration

Kingston University

About the Project As autonomous mobile robots become increasingly integrated into industrial, logistics and service environments, effective human-robot collaboration requires robots to make intelligent decisions that account for both environmental context and human requirements.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Cybersecurity Risk Assessment and Mitigation in artificial Intelligence life cycle

Kingston University

About the Project We are looking for a motivated PhD candidate to join our innovative research project focused on developing cutting-edge solutions for cybersecurity risk assessment and mitigation in the Artificial Intelligence (AI) life cycle. In recent years, AI has seen rapid growth in its development and integration across various industries, economies, and societies worldwide.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Aerospace Engineering

Data-Driven Approaches to Understanding and Predicting Aircraft Icing Effects

Kingston University

About the Project Aircraft icing is a well-recognised hazard that occurs when supercooled water droplets in the atmosphere freeze upon contact with aircraft surfaces. The accumulation of ice on wings and control surfaces can significantly alter aerodynamic characteristics, leading to increased drag, reduced lift, and potential loss of control.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Environmental Engineering

Development of Novel Thermochemical Heat Storage for Waste Heat Recovery

Kingston University

About the Project The rising demand for sustainable and efficient energy management has brought attention to the vast amounts of waste heat produced by industries. Heavy industries emit a significant portion of their consumed energy as waste heat. Harnessing this energy, characterized by high energy density and minimal energy loss during extended heat storage, holds a transformative potential for industrial sustainability and environmental conservation.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Biomedical Engineering

Development of biomedical image and signal processing analysis methods

Kingston University

About the Project The project relates to developing methods for rapid objective analysis of biomedical image and signal data.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Electrical Engineering

Development, Analysis, and AI-Augmentation of Steganographic Blockchain Protocols in Conjunction with Secure Multi-party Computation for Enhanced Privacy and Security

Kingston University

About the Project The aim of this project is to develop and analyse novel steganographic blockchain protocols integrated with Secure Multi-party Computation (SMPC) and Artificial Intelligence (AI) privacy-preserving approaches that emphases on developing a robust framework for strengthened privacy and security in decentralised systems.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Computer Science

Distributed antenna systems for RF beamforming

Kingston University

About the Project Spatial distribution of antenna elements is utilised in the construction of phased array antenna, which is a mature technology. However, in these systems the antenna are connected by conducting media. The formation of phased array antenna by distribution of antenna elements that are not connected by conducting media is challenging due to control, synchronisation, and syntonisation requirements.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Civil Engineering

Effects of self-cementing properties on the performance of a sustainable capillary barrier cover system by using recycled concrete aggregates

Kingston University

About the Project In supporting the UK Government to fulfil its targets on carbon emissions and environmental protection, there is an increasingly strong emphasis on recycling and reuse of construction waste in civil engineering. In this study, a sustainable capillary barrier cover system incorporating Recycled Concrete Aggregates (RCA) is proposed to be developed.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Engineering Design Intelligence: A Multidisciplinary Systems Framework for Human-Centred, Systems-Led and Value-Driven Engineering Innovation

Kingston University

About the Project Engineering is undergoing fundamental transformation. Advances in artificial intelligence (AI), digital twins, advanced manufacturing, sustainable technologies and connected systems are reshaping how products are conceived, developed and delivered. Simultaneously, engineers must design solutions that balance technical performance, user experience, sustainability, manufacturability, commercial viability, regulatory expectations and societal value.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Bioengineering

Engineering of Smart and Sustainable Biomaterials for Regenerative Orthopaedics

Kingston University

About the Project This PhD project explores the development of next-generation biomaterials for orthopaedic regeneration, focusing on engineering sustainable ceramic-based implants that address both clinical needs and environmental pressures. Musculoskeletal disorders and traumatic injuries are a leading cause of disability worldwide, often requiring surgical intervention and long-term implant solutions.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Machine Learning

Enhancing Danger and Hazard Perception in Robotic Guide Dogs

Kingston University

About the Project For many years, guide dogs have been incredibly helpful friends for people with vision impairments such as Blind or Low Vision (BLV), giving them the freedom and mobility they need to go about their everyday lives. However, there is a shortage of trained dogs, and the process of training requires a lot time and money. Moreover, maintaining guide dogs requires a lot of resources.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Energy Technologies

Enhancing the efficiency of geothermal energy pile foundations

Kingston University

About the Project The construction industry is reportedly responsible for 38% of global carbon emissions. The proposed project aims to develop specifications for energy efficient geothermal pile foundations capable of extracting maximum energy from the ground, for use in heating or air-conditioning of a building. These are called smart geothermal energy piles (GEPs) and, unlike conventional borehole heat exchangers, GEPs do not require separate boreholes.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Exploring Spatiotemporal Data in Designing Human-Centric Perception for Autonomous Vehicles

Kingston University

About the Project Autonomous vehicles (AVs) present several challenges for human-machine interaction that extend beyond the vehicle's interior to the surrounding street environment. While technical advancements in sensing, computer vision, and prediction have taken significant steps, these systems still struggle with the complexity of human behaviour. For example, Galvao et al.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Electromagnetism

Exploring the Potential of Near-Range Radar in Non-Invasive Neuroimaging

Kingston University

About the Project 1. Introduction and Motivation Non-invasive neuroimaging is a cornerstone of modern neuroscience and clinical diagnostics. Techniques such as MRI, EEG, and MEG have advanced our understanding of the brain, but they come with significant limitations—high costs, immobility, limited spatial or temporal resolution, and the need for specialized environments.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Computer Vision

Federated Learning for Multi-Modal Pulmonary Disease Diagnosis in Real-Time Clinical Environments

Kingston University

About the Project Pulmonary diseases such as chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are global health challenges. computed tomography (CT) and Magnetic resonance imaging (MRI) imaging are vital for diagnosis, but single-modality limitations reduce accuracy. Incorporating multi-modal imaging (CT, MRI) with clinical data could enhance diagnostic precision.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Aerospace Engineering

Generative Design and Additive Manufacturing of Bio-Inspired Cellular Structures for Aerospace Lightweighting

Kingston University

About the Project The aerospace industry faces a persistent and critical need for lighter, more efficient structures to reduce operational fuel consumption and increase payload capacity. This research project directly addresses this challenge by proposing a novel methodology for the design and fabrication of ultra-lightweight aerospace components.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Ophthalmology

Grading of vitreous degeneration by IRcSLO imaging

Kingston University

About the Project Imaging of the vitreous in the human eye is often carried out by optical coherence tomography (OCT). However, OCT images are static and provide information about backscattering of scattering centres within the vitreous body. Forward scattering effects are considerably greater than backscattering and are important as they are the effects witnessed by the patient with vitreous degeneration.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Mathematical Modelling

Heat Transfer Enhancement in Helicoidal Heat Exchangers for Industrial Thermal Systems

Kingston University

About the Project The proposed project focuses on the investigation, design and optimization of helicoidal heat exchangers for enhanced thermal performance in industrial heat transfer applications, particularly in the oil and gas sector. Conventional shell-and-tube and tube-in-tube heat exchangers often suffer from limited heat transfer rates due to the formation of thermal boundary layers and insufficient fluid mixing.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Human-Centric Green AI: Balancing Privacy, Cybersecurity, and Carbon Efficiency in Next-Generation Artificial Intelligence

Kingston University

About the Project Artificial Intelligence (AI) is transforming society, but its rapid growth faces a critical sustainability crisis. Large-scale AI models require massive data centres, leading to soaring carbon footprints and significant electronic waste. At the same time, processing vast amounts of personal user data introduces severe privacy vulnerabilities and cybersecurity risks.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Geology

Hydrological controls on the Vaiont landslide

Kingston University

About the Project The Vaiont landslide occurred in 1963 in northern Italy and has perplexed researchers ever since. Recently, however, new geological information and interpretations have led to an entirely new framework for understanding the event. We are now in a position to investigate the detailed controls on the occurrence of the landslide and to reliably assess the associated uncertainties.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Acoustics

Identification of Insect Species from Images or Sound Signals

Kingston University

About the Project Insects are vital members of the ecosystem, acting as vital pollinators for flowering plants, consumers of detritis, and in many cases keeping pests under control. However, some species – particularly ones non-native to a particular region – may have series detrimental effects by predating on native species or seriously damaging or destroying local plant life.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Built Environment

Integrated design approaches of thermo-active building envelope for near zero carbon buildings and environmental sustainability

Kingston University

About the Project The construction sector has seen a high share of energy-related carbon emissions globally due to building operation, posing a great threat to achieving net zero carbon targets by 2050. According to the Global Status Report for Buildings and Construction, in 2021, the buildings and construction sector accounted for about 34% energy consumptions and circa 37% of energy-related carbon emissions globally [1].

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Machine Learning

Integrating Professional Judgement with Machine Learning Models for Enhanced Construction Cost Estimation and Prediction in Contextually Variable Projects

Kingston University

About the Project Construction cost estimating and prediction have been modelled using stochastic and parametric approaches. Algorithmic tools have been developed to improve precision and accuracy of estimates and forecasts of construction costs. Yet construction cost prediction remains dynamic in the sense that each project is unique not just in design and construction, but also in the prevailing client and environmental context.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Built Environment

Integrating Sustainability as an Explicit Goal in Construction Project Delivery: Enhancing Design and Costing Practices Toward Net Zero 2050!

Kingston University

About the Project In the face of accelerating climate change, sustainability is no longer a peripheral consideration, it is a central imperative across all sectors, particularly in the built environment. While the construction industry increasingly acknowledges the importance of sustainable development, the practical integration of sustainability into day-to-day project delivery remains inconsistent and underdeveloped.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Intelligent Avatars for Collaborative and Rehabilitative Extended Realities

Kingston University

About the Project This project explores the development of intelligent, embodied avatars in Extended Reality (XR) environments, aimed at supporting collaborative and rehabilitative tasks. By integrating conversational AI with generative models for human motion, these avatars will respond naturally to users through voice, gesture, and movement.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Computational Mathematics

Intelligent Hybrid Black-Box Steganography: An AI-Enhanced Approach for Secure Data Embedding

Kingston University

About the Project The need for robust information security has never been more urgent, given the proliferation of digital data and sophisticated cyber-attacks. Steganography, the art of concealing information within seemingly benign media, has emerged as a powerful tool for secure communication. However, traditional steganographic techniques, while effective, are becoming increasingly vulnerable to modern steganalysis methods.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Data Analysis

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

Kingston University

About the Project In 5G, ultra-reliable low-latency communication has been a backbone for various applications that need an extremely low delay. However, further research will be required to minimize the round trip delay and improve energy efficiency and security of user data in the 6G network [1]. In the proposed haptic/tactile communication, we may need “Network Edge Intelligence” where we build a digital twin in the edge server near the controller.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Investigating effects of environmental stressors on ecosystem function using hyperspectral leaf reflectance

Kingston University

About the Project There is an increasing urgency to understand the biochemical and physiological responses of plants to global environmental change. This is because environmental stressors–– climate and land-use change, environmental pollution (e.g., nitrogen deposition) experience in the vicinity of urban areas ––directly influence species’ survival, growth and reproduction, which in turn determine community structure and function, as well as ecosystem processes.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Large AI models for Privacy and Compliance

Kingston University

About the Project This project aims to develop advanced AI agents specifically designed for compliance and privacy analysis. The core objective is to automate and streamline the evaluation of ethical and privacy concerns across various domains. By integrating context-aware legal, ethical, and privacy models, the system will ensure that AI-driven processes and decisions adhere to established norms and regulations.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Learning-Augmented FEM–BEM Solvers for Biomolecular Simulations

Kingston University

About the Project Electrostatic interactions play a central role in biomolecular processes, including protein–ligand binding, RNA folding, and vaccine design. The Poisson–Boltzmann equation (PBE), particularly in its non-linear form, is a foundational tool in modelling these interactions.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Machine Learning

Leveraging statistics to develop new methodologies for subjective quality assessment

Kingston University

About the Project Subjective tests for the assessment of the quality of experience (QoE) are typically run with a pool of subjects providing their opinion scores using a 5-point scale. The subjects’ mean opinion score (MOS) is generally assumed as the best estimation of the average score in the target population.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Built Environment

Life Cycle Energy Saving Strategies and Evaluation Framework for Pre-1919 Constructions

Kingston University

About the Project Background: Buildings account for approximately 40% of energy consumption and 30% of carbon emissions in the UK. Energy saving in the built environment is a critical focus area to meet government targets for reducing carbon emissions, which are supported by the continuous updates to building regulations. Over the past 20 years, significant efforts have been directed at improving the energy performance of new builds and retrofitting existing buildings.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Architecture

Low Carbon Concrete Modular Pavement Design

Kingston University

About the Project Challenges facing the sustainability impact of concrete in 21st century construction includes unsustainable Embodied CO2 (ECO2) with over-reliance of natural aggregate that contribute to diverse anthropogenic effects. These influence on climate change including greenhouse gases (GHG), urban heat island (UHI), acid rain, and other environmental risks associated to heat and pollution.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Architecture

Mapping solar PV potential for existing buildings stocks in the UK by deep learning of satellite and aerial images data

Kingston University

About the Project Project Abstract We are seeking an ambitious PhD candidate to join a cutting-edge research project aiming to map the solar photovoltaic (PV) potential for existing building stocks in the UK through the application of deep learning on satellite and aerial image data. The anticipated research outcomes will provide valuable insights for the construction industry to strategically promote solar PV installations across the UK.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Aerospace Engineering

Mechanism-Guided Design of High-Entropy Ceramic Architectures for Hydrogen and Fusion Energy Systems

Kingston University

About the Project The transition toward net-zero energy technologies requires materials capable of operating under increasingly aggressive environments. Hydrogen-fuelled gas turbines demand advanced Environmental Barrier Coatings (EBCs) for SiC/SiC ceramic matrix composites, where resistance to steam corrosion, calcium–magnesium–aluminosilicate (CMAS) attack and thermal cycling is essential.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Metadata-based Deep Learning to estimate the quality of Wikipedia Articles

Kingston University

About the Project Wikipedia allows anyone to edit articles. Under what conditions do we declare a Wikipedia article to be of high quality? The following list of attributes are typically ascribed to quality: accuracy, readability, completeness, stability, and currency [1]. Considerable research has focused on developing automated techniques to assess articles using these criteria [2].

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Biodiversity

Modelling effects of microclimate variability on climate-induced ranges shifts in Madagascar

Kingston University

About the Project Anthropogenic climate change (ACC) is anticipated to significantly alter the future distribution of plant species in tropical regions. Predictions about these impacts are primarily based on species distribution models (SDMs) that use coarse-scale climate data. Recent studies have suggested that models relying on macroclimate variables can produce inaccurate predictions, overestimating or underestimating future range changes.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Civil Engineering

Modelling slope stability

Kingston University

About the Project Climate change predictions for the British Isles generally indicate that there will be higher winter rainfall in future, but with more frequent high intensity rainfall events at any time of year. Seasonally higher rainfall might be expected to elevate water tables sufficiently to trigger – or reactivate – deep-seated landslides, and high intensity rainfall events have triggered numerous shallow landslides, some with highly damaging impacts, in recent years.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Computer Science

Multi-Language Statistical Classification of Natural and Computer-Generated Texts

Kingston University

About the Project This project concerns the statistics of written documents, whose properties are analogous to those of other type-token systems such as city populations, personal incomes and galactic superclusters. Large-scale studies on the Project Gutenberg corpus reveal wide statistical variations between written documents [1][2]. Though many texts can be modelled with existing statistical theory, others are anomalous and deserve deeper examination.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Multi-Objective Optimisation for Personalised Nutrition: Constraint-Based Meal Planning, Explainable AI, and Adaptive Feedback

Kingston University

About the Project Healthcare platforms for personalised nutrition have predominantly focused on invasive biomarker prediction, such as continuous glucose monitoring or microbiome profiling, to generate dietary recommendations. This project instead asks how non-invasive, interpretable optimisation techniques can address the dietary needs of individuals managing clinical conditions such as Celiac disease, Type 2 diabetes, or medication-specific nutritional restrictions.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Climate Science

Multi-Radar Remote Sensing for Surface–Subsurface Characterisation of Antarctic Ice Sheets

Kingston University

About the Project Introduction The Antarctic Ice Sheet is undergoing rapid change in response to climate warming, yet the physical mechanisms linking subsurface ice properties to observed variations in ice flow remain poorly understood.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Biomedical Engineering

Multi-scale modelling and simulation of bio-inspired structures

Kingston University

About the Project Bio-inspired structures draw their primary inspiration from the sheer fecundity of nature in the diversity of forms and their constant evolution in order to better adapt to their environment. Over the past years, considerable achievements have been made towards establishing complex relationships between internal structures of bio-inspired materials and their mechanical properties.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Neuromorphic Computer Vision: Sensing and Neuromorphic Machine Learning for Vision Applications

Kingston University

About the Project Recent advances in bio-inspired neuromorphic hardware and neuromorphic sensors enable more efficient methodologies for computer vision tasks, aiming to minimise the cost, latency and energy consumption of real-time vision systems.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Neuromorphic visual sensing and computing

Kingston University

About the Project Neuromorphic vision sensors enable the acquisition of scenes with limited energy requirements and low data rate, only acquiring information on what changes in the scene, with a behaviour similar to the one of the human eye. The acquired information can be easily exchanged in internet of things scenarios where battery operated visual sensors are connected to monitor a scene or perform a task requiring limited delay (e.g., tele operated driving).

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Chemical Engineering

Next-Generation Sustainable Aviation Fuels: Molecular Design, Catalysis and Advanced Characterisation

Kingston University

About the Project Sustainable Aviation Fuel (SAF) offers a key pathway for aviation decarbonisation by enabling the use of renewable, waste-derived carbon sources and captured CO₂ to produce jet fuel alternatives. As a drop-in replacement for conventional Jet A-1 fuel, SAF is compatible with existing aircraft and infrastructure while offering significant life-cycle greenhouse gas emission reductions.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Chemical Engineering

Numerical simulation and optimisation of Deflagration and Detonation arresters’ performance

Kingston University

About the Project Demand for energy and petrochemical products has been on the raise in recent decades leading to huge production, transportation and storage infrastructures all around the world. The industry needs to store and transport large volumes of fuels and petrochemicals which are highly reactive and normally in liquefied form, such as Liquefied Natural Gas (LNG).

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Aerospace Engineering

Numerical simulation of Deflagration, Detonation and DDT in large scale inhomogeneous reactive mixtures

Kingston University

About the Project Demand for energy and petrochemical products has been on the raise in recent decades leading to huge production, transportation and storage infrastructures all around the world. The industry needs to store and transport large volumes of fuels and petrochemicals which are highly reactive and normally in liquefied form, such as Liquefied Natural Gas (LNG).

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Structural Engineering

Partial prestressed concrete beams with FRP reinforcement

Kingston University

About the Project Prestressed concrete beams with fibre reinforced polymer (FRP) bars show promising results utilising the excellent mechanical properties of the FRP such as lack of corrosion, high strength and durability to create suitable elements that meet the design requirements according to the serviceability and ultimate limit states.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Aerospace Engineering

Passive Load Alleviation in High-Aspect-Ratio Wings via Aeroelastic Tailoring of Thin-Ply Composite Laminates Using Multidisciplinary Design Optimization

Kingston University

About the Project Future aircraft must meet increasingly strict efficiency and sustainability targets, driving the development of ultra-lightweight, high-aspect-ratio wings. While these wings reduce induced drag and fuel consumption, their increased flexibility makes them more vulnerable to aeroelastic effects such as excessive deformation, reduced control effectiveness, and accelerated fatigue damage.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Energy Technologies

Passive microfeature backplates for resilient perovskite silicon tandem PV modules

Kingston University

About the Project Perovskite silicon tandem solar cells have shown remarkable efficiency improvements but continue to face challenges in thermal stability, mechanical integrity, and moisture protection. This PhD project will explore a new concept of passive microfeatured backplates designed to enhance module durability and performance through improved heat distribution and barrier properties.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Cyber Security

Post-quantum cryptographic systems for securing communication in IoT systems.

Kingston University

About the Project We are seeking a motivated PhD candidate to join our cutting-edge research project on developing post-quantum cryptographic systems for securing communication in Internet of Things (IoT) systems. Classical cryptographic systems which are used to protect our sensitive data, are now under threat from the advent of quantum computing. Quantum computers use the principles of quantum mechanics to perform computations that are not possible for classical computers.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Computer Science

Remote Non-Contact Sensing for Physiological Signals

Kingston University

About the Project Non-contact sensing technology has gained significant attention in recent years due to its potential applications in healthcare, sleep monitoring, and emergency scenarios. Unlike traditional wearable sensors, non-contact methods allow for privacy-invasive monitoring without physically attaching sensors to the body. In this project, we explore integrated radar-based and optical imaging approaches for physiological signal detection.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Electronic Engineering

Resource-saving design and manufacturing of Printed Circuit Boards

Kingston University

About the Project Challenge: In the UK we each create a huge amount of electronic waste—the second highest in the world. A large and critical component of Waste Electrical and Electronic Equipment (WEEE) comprises of printed circuit boards (PCBs).

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Security and Assurance of AI Agents in Cyber-Physical and Autonomous Systems

Kingston University

About the Project AI agents and large-language-model-based autonomous systems are beginning to influence software engineering, cyber defence, robotics, transport, industrial automation and cyber-physical infrastructure. While these systems offer significant benefits, they also introduce new security risks, including unsafe tool use, prompt injection, data leakage, adversarial manipulation, poor explainability, supply-chain exposure and loss of human oversight.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Security and Privacy of Energy-Constraint Internet of Things Communication using Distributed AI

Kingston University

About the Project In recent years, the Internet of Things (IoT) has progressed dramatically due to advancements in technology. It plays an important role in the development of abundant applications and economic ventures. In IoT, smart devices communicate with each other using the Internet without any human intervention.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Seeing Change Over Time: Longitudinal Medical Image Analysis for Early Detection and Clinical Insight

Kingston University

About the Project This research offers an exciting opportunity to explore how longitudinal medical images can be analysed to reveal subtle changes that unfold over time. Many clinical conditions progress gradually, with early signs detectable only through careful comparison of images acquired at different points in a patient’s care journey.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Simulation-based Quantum Machine Learning for Advancing AI

Kingston University

About the Project We are seeking a highly motivated candidate to pursue a PhD opportunity in the exciting and rapidly growing field of simulation-based quantum machine learning to shape the future of AI and quantum computing.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Acoustics Engineering

Studies in acoustic interactions with liquid drops

Kingston University

About the Project An ultrasonic monitoring system has been built that is able to characterise liquids based on the growth of pendant liquid drops [1]. The system operates as an ultrasonic interferometer, whereby part of the acoustic wavefront interacts with the growing liquid drop and is them recombined with another part of the wavefront which acts as a reference path. The technique has been able to distinguish different types of soft drink, lagers and many other liquids.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Human Computer Interaction

Supporting Remote Collaboration Through AI-Enhanced AR Glasses

Kingston University

About the Project Augmented reality glasses are increasingly being explored as tools for remote collaboration, training, and workplace assistance. In technical work settings, a trainee or worker may need guidance from a more experienced colleague who is not physically present.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Human Geography

Systems Change and Community Collective Impact Projects

Kingston University

About the Project 1 . Context Communities face complex challenges that often necessitate solutions beyond the capacity of any single organization. Collective impact (CI) has emerged as a promising approach, bringing together diverse stakeholders to tackle shared issues. CI projects involve cross-sector collaboration, a common agenda, data-driven decision-making, and a commitment to continuous improvement.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

The Meta-Sharing Epidemic: Assessing and Mitigating the Multi-Dimensional Risks of Social Media Hyper-Sharing

Kingston University

About the Project From daily personal routines to sensitive workplace settings, modern society is driven by an absolute habit: if it happens, it must be digitally shared. Millions of images, short-form videos, and text files are broadcast and forwarded across global communication platforms every single minute. While these frictionless actions feel instant and harmless, this casual habit of sharing "everything and anything" is creating a silent, compounding global crisis.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

The Overheating Paradox of Low-Carbon Retrofit: Developing a Sustainable Framework for Delivering Year-Round Thermal Resilience in the UK Housing Sector.

Kingston University

About the Project Background and Context The UK housing sector is undergoing a major transformation driven by net-zero commitments, energy security concerns, and the need to improve the energy performance of an ageing housing stock. Residential buildings account for approximately 15-20% of UK carbon emissions, making housing decarbonisation a critical component of national climate policy.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Trustworthy AI-Driven Digital Twins for Cyber-Resilient Connected and Autonomous Systems

Kingston University

About the Project Connected and autonomous systems increasingly rely on software-defined functions, sensor fusion, AI-enabled decision-making, V2X communications and cloud-edge coordination. These systems are difficult to secure because cyber risks may emerge across software, communication, perception, data and operational layers.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Artificial Intelligence

Trustworthy Agentic AI for Clinical Documentation: Safe, Transparent and Human-Centred Electronic Health Records

Kingston University

About the Project Generative AI is rapidly transforming healthcare documentation. Large language models (LLMs) are increasingly being integrated into electronic health record (EHR) systems to draft clinical notes, summarise patient histories and support clinical coding. The next generation of these technologies is evolving beyond passive "AI scribes" towards agentic systems that can actively coordinate, assemble and refine documentation across multiple information sources.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Built Environment

Valuing green and blue urban landscapes

Kingston University

About the Project During this prolonged period of neo-liberal development our discourse in the West has become fragmented between a growing concern for climate change/sustainability and a continued need to promote intensive growth and prioritise the needs of capital.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Geography

What role for the voluntary and community sector in promoting community resilience?

Kingston University

About the Project The UK Government Resilience Framework (Cabinet Office 2022) renews a commitment to a “whole-of-society” approach where strengthened partnerships with the voluntary, community and faith sector (VCFS) are seen as an important way of protecting communities.

Location
London, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only