Newcastle University, England 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 Newcastle University, England.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship – Process Industries: Net Zero 3D Heat Pipe Technology
This PhD project will develop next generation 3D Heat Pipes, to maximise thermal transport efficiency within advanced electronics for space and terrestrial applications.
Vapour chambers and loop heat pipes are proposed for development into a 3D format. Vapour chambers are ultra-thin heat pipes used to rapidly spread heat in the x-y plane. They have various applications in electronics cooling/heat spreading. 3D vapour chambers are a recent advancement combining a state-of-art 2D vapour chamber with a traditional heat pipe structure to allow heat spreading and dissipation across all 3 dimensions. Loop heat pipes incorporate a complex evaporator with flexible transport lines, that require development for utilisation in a 3D environment. This project will focus on the advancement of vapour chambers and loop heat pipes into 3 dimensional environments.
Potential applications include in-orbit satellite applications, where maximising thermal performance of waste heat transport from discrete, high heat flux heat sources is paramount, and aerospace applications where the geometry between the heat dissipating source and the heat sink may be tortuous. Other applications include battery pack cooling, cooling of PEM fuel cells and various other key enabling technologies in the drive to net zero.
Deadline : 25th March 2025
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Improving Reliability in Vision-Language Models: Reducing Hallucination in Multimodal AI Systems.
Recently, large vision-language models (LVLMs) have made significant strides, demonstrating impressive capabilities in multimodal interaction. However, these models often suffer from hallucination, where generated textual outputs fail to align with the visual input. This doctoral project aims to investigate the fundamental factors contributing to hallucination, develop innovative strategies to mitigate it, and establish new benchmarks and metrics for evaluation. This project will contribute to the development of the next generation of reliable and ethically sound LVLMs, advancing both academic theory and practical applications
Deadline : 7th March 2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD in Water Resources: Next-Generation Flood Models: Physics-informed neural networks for urban resilience
This PhD project introduces a ground breaking approach to real-time urban flood modelling through physics-informed neural networks (PINNs). The framework embeds fundamental physics laws, such as the Shallow Water Equations, into the neural network’s loss function. This ensures physically consistent predictions, even when historical data is limited, and addresses the limitations of traditional data-driven methods, which often fail to generalise to unfamiliar scenarios.
A major strength of this approach is its ability to deliver reliable forecasts under extreme or novel conditions. Another key feature is the integration of real-time data assimilation, where sensor readings, such as rainfall and water levels, update the model continuously. This enables rapid recalibration and highly adaptive predictions during dynamic flood events, providing crucial support for decision-making in rapidly changing situations.
The research enhances urban resilience by offering stakeholders, including city planners and water utilities, an interactive tool to evaluate mitigation strategies such as green infrastructure and improved drainage systems. Its predictive capabilities, combined with uncertainty quantification, guide the prioritisation of interventions to reduce flood impacts and protect critical infrastructure.
Deadline : 21 March 2025
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD in Water Resources: Parametric protection from drought risk and water scarcity in the 21st century
Capital investments in water infrastructure are often the first adaptation solution considered when planning for resilient water infrastructure, especially in a changing climate. However, insurance plays an equally significant role in protecting individuals and organisations at risk to drought and water scarcity. To build a society which is fully resilient to current and future water-related challenges requires consideration of both types of adaptation. This project will contribute towards a better understanding of the role of insurance in achieving resilient, dynamic and complex water systems.
This project will develop a state-of-the-art Hydrosystems modelling framework to systematically and strategically identify industry-relevant index-based parameters for sector-specific drought insurance that account for climate change and changing water security risks. The results from the project will help to communicate 21st century drought and water security risks to the climate-vulnerable energy, agriculture and industry sectors, and quantify the benefits of adopting parametric drought policies.
Deadline : 21 March 2025
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentdhip: Accelerating Sustainable Electric Machine Design for Net-Zero Emissions with Life Cycle Assessment
Advancing the sustainability of electric machines, even incrementally, can significantly reduce carbon emissions and bolster global efforts to achieve net-zero targets. Despite considerable advancement in their operational performance, their life cycle impacts, including raw material extraction, manufacturing, and recycling, are underexplored. This project aims to enhance sustainable machine design through life cycle assessment (LCA), focusing on environmentally friendly materials and machine structures, together with AI-driven optimization frameworks for diverse applications while considering LCA metrics. The success of this project could serve as a model for other energy-related devices, promoting sustainability across sectors through a holistic LCA-based design philosophy. These could empower industry, academia, and policymakers to make informed decisions, accelerating progress toward net-zero emissions.
Deadline : 7th March 2025
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship – Clinically unrecognised dementia with Lewy bodies: what are the causes, consequences, and opportunities?
Dementia with Lewy bodies (DLB) comprises ~5% of clinical dementia diagnoses in UK health services. However, gold-standard autopsy and biomarker studies show that over 20% of people with dementia have underlying Lewy pathology. Most DLB cases are therefore clinically unrecognised.
This research project will aim to understand which factors during life and at autopsy are associated, positively or negatively, with recognition of DLB, and whether unrecognised DLB has a worse prognosis than recognised DLB. The student will work with large clinical and pathological datasets from the UK and US to identify factors associated with the recognition of DLB, during life and at autopsy. They will learn to use advanced statistical methods to characterise the progression of dementia over time in people with recognised and unrecognised DLB.
The student will receive training in management of large datasets, quantitative data analysis, and clinical informatics. As a member of the Alzheimer’s Society Lewy Body Dementia Doctoral Training Network and Newcastle University Lewy Body Lab, they will benefit from being embedded within a wider clinical research environment.
Deadline : 28th February 2025
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship in Brain, Brawn, and Bugs: cognitive and physical factors of insect dexterity
Having hands to manipulate objects has enabled humans to develop pivotal innovations, including tools and shelter. Most other animals lack hands, and yet many can still skilfully manipulate objects, such as food and nest materials. Insects, for example, can build structures and handle food despite having tiny brains and simple appendages.
This interdisciplinary project will examine how insects achieve this dexterity, by studying foraging in praying mantises and bumblebees using behavioural experiments, micro-CT scanning, myogram reading, and advanced motion analysis. Working with scientists at Liverpool, Sussex, and Edinburgh, we will study how dexterous behaviour changes throughout lifetime, providing possible novel models for studying how ageing affects human dexterity.
This project will equip the student with a unique scientific niche of general scientific skills in behavioural research, as well as highly interdisciplinary computational skills, by learning to collect and analyse data from micro-CT scanning, motion tracking, and electromyography.
Deadline : 30th April 2025
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship in cancer: Identifying novel therapeutic targets to exploit mitochondrial function in cancer
Are you interested in drug discovery and cancer? This project will work to identify novel drug targets in cancer cell lines that also have impaired mitochondrial function.
Colorectal cancer (CRC) is the second most common cause of cancer death in the UK, despite the development of surgical interventions and novel drugs. Recently we have shown that a significant number of these cancers have altered mitochondrial metabolism. We aim to exploit this to develop a new generation of cancer therapeutics.
This project will use state of the art high-throughput screening techniques to identify novel small molecule therapeutics and candidate drug targets using CRISPR screens. The successful candidate will be trained in a range of techniques including, immunofluorescence, CRISPR, high-throughput screening, cell metabolism assays and tissue culture.
Deadline : March 3rd 2025
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship in Cardiovascular Development: “Cell interactions in fourth pharyngeal arch artery morphogenesis”, funded by the British Heart Foundation.
Interested in the morphogenetic processes underlying cardiovascular development? This PhD project will investigate the mechanisms by which key genes control the development of the aortic arch arteries.
Congenital cardiovascular abnormalities occur in ~1% of live births and cause a high level of death and morbidity, including defects affecting the major arteries, such as interruption of the aortic arch. These arteries form by a highly complex process that is tightly regulated by genetic and cellular interactions that are not fully understood.
To uncover the gene regulatory networks and signalling events between the different cell types required for arch artery formation we have been using state-of-the-art single cell sequencing technologies. In this PhD project you will interrogate this data using bioinformatic techniques to identify candidate genes for further analysis. These genes will be investigated in model organisms using a range of laboratory techniques including RNA and protein visualisation by in situ hybridization (using the RNAscope technique) and immunohistochemistry, fluorescent activated cell sorting (FACS), quantitative real-time RT-PCR, molecular cloning and cell culture assays.
Deadline : 28th February 2025
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship in combining synthetic chemical biology and cellular neuroscience to understand retinoic acid signalling in neurodegenerative disease
Retinoic acid signalling has emerged as a promising new drug target for neurodegenerative disease. However, this pathway is intricately connected to a host of inflammatory processes which could be activated by using retinoic acid-based small molecule compounds, causing potential negative effects. In this interdisciplinary project, you will be supported to design and make a range of small molecule probes, including fluorescent probes, and use them to study the effect of retinoic acid on inflammation in brain cells. You will build skills in chemical biology, computation, microscopy and data analysis, supported by a team of scientists passionate about your development. This project is offered in partnership with neurodegenerative disease drug company Nevrargenics (https://nevrargenics.com/).
Deadline :28th February 2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship in Computer Science
The School of Computing at Newcastle University expects to offer three full time PhD studentships on a subset of the following projects:
- Enhancing Privacy-Preserving Federated Learning with Incentives
- Building a Trusted Smart Home Ecosystem with Zero Trust Principles
- Analysing and Visualizing Brain-Heart Interactions in Health and Disease Using Visually Explainable AI
- Physics-Informed Data-Driven Techniques for Secure and Safe Autonomous Systems
- Adaptive Trajectory Optimization of 6G-Endable Drones Integrating Multi-Access Edge Computing for Border Surveillance
- Promoting AI Literacy through Interactive Visualisations
- Disparity Correction in Machine Learning for Healthcare
- Design and Implementation of Computation and Communication Efficient Distributed Machine Learning Frameworks for Edge AI
Deadline : 28 February 2025
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship in Development of Low-Light and Ambient Photovoltaic Devices for IoT Applications
We are excited to announce a PhD opportunity focused on the design and development of low-light and ambient photovoltaic (PV) devices tailored for Internet of Things (IoT) applications. This project aims to create self-powered devices capable of operating efficiently in low-light environments, facilitating innovative solutions for environmental monitoring, including flood prediction and land management.
Deadline : 28th February 2025
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship in Digital Health and Human Computer Interaction
We are offering an exciting fully funded PhD opportunity to join the SMaRT-PD project within the Faculty of Medical Sciences at Newcastle University. SMaRT-PD is an innovative research initiative focused on designing a Clinical Decision Support System (CDSS) to help people with Parkinson’s disease manage and monitor their symptoms more effectively.
Deadline : 18.04.2025
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship in Engineering bacterial fimbriae into advanced biomaterials for cell culture applications.
This project will engineer a bacterial fimbriae into advanced biomaterials that have applications in cell culture. Our focus is on the bacterial fimbriae Capsular antigen fragment 1 (Caf1). We have learned to produce Caf1 on a large scale through its recombinant expression in Escherichia coli and to engineer its structure to display peptide motifs that provide important biological cues to cells. We aim to develop “next generation” Caf1 polymers that display controlled lengths and compositions of different biological cues that we believe will better facilitate the culture of cells including those that are difficult to culture. This project will provide training in recombinant protein expression and the purification and characterization of Caf1 monomers and polymers. You will gain experience in advanced cell culture techniques across a range of cells used in bioprocessing e.g vaccine production.
Deadline : 28th February 2025
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship in Neurotechnology: Spatiotemporal Population Dynamics for Neural Decoding
Are you interested in developing neurotechnologies for treating brain disorders? In this PhD you will work with datasets of neuronal activity in animals and humans during decision-making behaviours. You will apply sophisticated computational approaches to describe the spatial and temporal patterns across the different neurons that comprisein the necortical microcircuit. By examining how these spatiotemporal dynamics relate to behaviour you will develop new methods for decoding information from the brain decoding methods, and . You will additionally test the extent to which these methods can generalise across brain areas and species.
You will be working with an interdisciplinary team funded by the Advanced Research and Invention Agency (ARIA) that is using state-of-the-art multielectrode technologies to obtain high-resolution recordings from inside the brain. You will become an expert in the latest AI approaches to interpreting these large datasets, as well as computational models that capture low-dimensional structure that reflects the architecture of the neocortex. By working with researchers developing new brain stimulation methods, you will contribute to developing closed-loop algorithms for regulating brain dynamics with clinical applications in epilepsy and psychiatric disorders.
Deadline : 28th Feb 2025
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship in Neurotechnology: Spatiotemporal Stimulation Strategies for Neural Modulation
Are you interested in developing neurotechnologies for treating brain disorders? In this PhD you will test new strategies to improve the precision of brain stimulation techniques in preclinical models of epilepsy and disorders of decision-making. We will investigate how the precision of brain stimulation may be advanced, using patterned electrical modulation, to achieve the same levels of cell-class specificity provided by optogenetics. Our motivation is to develop technologies solutions to simplify the process of clinical implementation, and in this way, to expedite their use in the treatment of different neurological conditions.
You will be working with world-leading experts in the fields of brain-machine implants and epilepsy, funded by the Advanced Research and Invention Agency (ARIA), using state-of-the-art multielectrode technologies to deliver precision neurostimulation to the brain. You will be trained in neuromodulation technologies and neurophysiology. By working with researchers developing new brain decoding methods, you will contribute to developing closed-loop neuromodulation for regulating brain dynamics with clinical applications in epilepsy and psychiatric disorders.
Deadline : 28th Feb 2025
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship in paediatric brain tumour research – Integrative multi-omic analyses of childhood medulloblastoma for improved personalised therapies
Are you interested in using contemporary ‘omics approaches to uncover clinically-relevant biology in medulloblastoma, the most common malignant brain tumour in children?
You will join our Childhood Brain Tumour Research Group, an internationally-recognised translational research team at the cutting-edge of childhood brain tumour research. This PhD project will contribute to our biomarker discovery programme which focuses on developing better therapies/diagnostics, and tailoring therapy to each patient (risk-stratification).
Investigations of the most contemporary European clinical trial of standard and favourable-risk medulloblastoma, SIOP-PNET5-MB (2014-2021; n=394), and its associated biological materials offer unique opportunities to address major unmet clinical and translational needs in the disease. We hypothesise that integration of genomic, epigenomic, transcriptomic and proteomic datasets developed from this trial will enable the identification of novel disease-risk groups, biomarkers and superior risk-stratification models. You will therefore undertake integrated analyses of tumour and host biology in medulloblastoma patients from SIOP-PNET5-MB and use these to determine (i) disease outcomes, (ii) clinico-molecular correlates, (iii) groups suitable for therapy-adaptation, and (iv) targets and opportunities for novel therapies.
Deadline : 14/03/2025
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship in Prostate Cancer – Refining human prostate tissue culture techniques for better in vivo mimicry and therapeutic insights
Interested in learning how to develop novel human-derived cancer models to advance cancer research? This project will develop a human-derived prostate cancer model to test novel therapies.
Prostate cancer is the most common cancer in males. A major deficiency in prostate cancer research is the lack of model systems that accurately reflect the disease in a patient. By culturing human prostate tissue in the laboratory, we aim to overcome this problem and provide an accurate model of in vivo human prostate cancer growth to pre-clinically test novel therapies.
In this PhD, you will iteratively test physical and environmental culture conditions to improve tissue longevity and improve in vivo mimicry. You will test several novel therapies in the optimised model providing an exciting opportunity to translate basic science to potential patient impact.
You will become an expert in ex vivo tissue culturing, histopathology and downstream tissue processing methodologies whilst being part of the Urology Research Collaborative, composing of basic scientists and clinicians with international reputations, within the Newcastle Cancer Centre.
Deadline : 28th February 2025
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship in Prostate Cancer – Using a Defined 3D Human Organoid Model to Replace the Use of Animals in the Screening and Evaluation of Treatments for Prostate Cancer.
- Are you passionate about cancer research, stem cell technology, and precision medicine?
This PhD studentship offers an exciting opportunity to work at the cutting edge of prostate cancer research, using stem cell-derived organoid models to develop an advanced drug screening platform.
- Why does this matter?
Prostate cancer is one of the most common cancers worldwide, yet traditional preclinical models often fail to accurately predict patient treatment responses. To overcome this, we use human stem cells to generate 3D prostate organoids, providing a physiologically relevant system for testing targeted therapies. These organoids mimic the complexity of the tumour microenvironment, offering a powerful and ethical alternative to animal models.
Deadline : 3rd March 2025
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship – New Synthetic Methodologies towards Medicinally Relevant Groups combining Organocatalysis and Light Activation
This project focuses on the development of novel synthetic methodologies that use light to deliver cyclic organic structures of relevance for drug discovery. In addition to being an abundant and sustainable energy source, using light to activate organic molecules opens up unconventional reactivity and selectivity profiles not encountered under thermal conditions. The project will explore a novel dual catalysis concept combining light activation with organocatalysis by N-heterocyclic carbenes (NHCs), which shows huge promise for expanding the scope of organic photochemistry. In addition to synthetic organic chemistry, the project will also incorporate photophysical studies with further support from computational partners.
Deadline : 28th February 2025
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship- Advanced Electro-Active Coordination Polymers as Energy Materials.
We are seeking an exceptional PhD candidate to join our research team. This forward‑looking project aims to transform sustainable energy technology through the innovative synthesis and integration of electro‑active coordination polymers (eCPs).
As a PhD candidate, you will:
1. Develop a new class of eCPs, integrating earth-abundant metals to create materials with unprecedented charge transport and storage capabilities.
2. Utilize state-of-the-art combinatorial inkjet printing for materials dicovery and optimization of eCP compositions.
3. Design and fabricate next generation “smart” solar cells and photocapacitors that seamlessly integrate energy harvesting and storage functionalities.
4. Leverage advanced techniques such as transient absorption spectroscopy, operando XRD, KPFM and electrochemical impedance to understand structure-property relationships.
5. Contribute to the development of low-cost, highly efficient indoor photovoltaics
Deadline : 15th March 2025
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Machine Learning-driven Fusion of Drone-mounted Ground-penetrating Radar and Smart Meter Data for Advanced Leak Detection in Water Networks
The UK loses over 3 billion litres of water daily due to leaks, causing environmental degradation and economic strain. Existing detection methods fail to address the issue effectively, being both costly and unreliable. This project proposes an innovative solution by integrating drone-mounted ground-penetrating radar (GPR) with smart meter data to transform leak detection. Drones equipped with GPR will identify underground anomalies, while smart meter data will refine localisation for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four industrial partners. More details about the project can be found here.
Deadline : 7th March 2025
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship: A Build-couple-transform approach to diverse macrocyclic libraries for drug discovery
This exciting project will develop new synthetic approaches to macrocyclic molecules that will be used in drug discovery. This will use a novel approach to macrocyclisation and a series of reactions for skeletal editing that introduce scaffold diversity. The methods will be used to produce targeted macrocycles as leads for cancer and anti-infective drug discovery and for downstream development of arising hits. The project will be carried out in state-of-the-art drug discovery laboratories within a thriving medicinal chemistry research group and in collaboration with an industrial partner. It will offer the ideal project for a candidate with an interest in organic synthesis with ambitions for a career in medicinal chemistry research.
Deadline : 28th February 2025
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Studentship: Accelerating Statistical Algorithms through Machine Learning
This PhD studentship offers an exciting opportunity to integrate machine learning and statistical methods, focusing on improving the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in areas such as uncertainty quantification and data science.
Potential areas of investigation include:
- Enhancing Monte Carlo and Markov Chain Monte Carlo (MCMC) methods with reinforcement learning.
- Developing adaptive tuning and continual learning strategies for statistical models.
The scope of the project will be tailored to the candidate’s interests and expertise, providing significant opportunities for innovation and impact.
Deadline : 28 February 2025
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Advancing Net-Zero Manufacturing: Physics-Informed Digital Twin for Real-Time Fault Diagnosis and Prognosis in Complex Mechatronic Systems
The Industry 4.0 revolution is driving smart manufacturing while highlighting the need for sustainability to achieve Net-Zero goals. Cyber-Physical Systems (CPS) integrate machines, robots, and AGVs, but challenges like mechanical wear and electronic errors pose risks to efficiency, increasing costs and resource waste. This Ph.D. project aims to address these challenges by advancing fault diagnosis and prognosis (FDP) for complex mechatronic systems. Building on Supervisor Team’s validated physics-informed digital twin FDP approach, developed with industry leaders like AMRC, the project aims to enhance this method and elevate its Technology Readiness Levels (TRLs), supporting sustainable operations in diverse industrial environments.
Deadline : 7th March 2025
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Building a Digital Twin of the Tees estuary to evaluate the resilience of nature based solutions for nutrient (N & P) capture
Northumbrian Water have proposed substantial investments in nature-based solutions (NBS) to deliver nutrient neutrality for the Tees estuary and surrounding coastal waters at scales not seen in the UK. The reduction of nitrogen loading is the primary driver; however, the NBS also have capacity to deliver parallel removal of phosphorus. The NBS include the restoration of native oyster, seagrass, and saltmarsh habitats, together with seaweed and shellfish farming. Success is predicated on ensuring the organisms remain healthy and functional for many years. This project will optimise a ‘Digital Twin’ of the Tees estuary to ensure that the NBS are deployed at locations optimal for performance and longevity while operating within the constraints placed upon deployment by other coastal stakeholders, enabling more cost effective and sustainable nutrient removal. Digital Twins can help with decision-making and performance optimisation; however, there are precious few examples of Digital Twins being used to assess NBS. This project builds on the Newcastle University team’s decades of expertise in modelling the circulation of open oceans, shelf seas and estuaries. The Digital Twin will be used to diagnose the impact of river flows, tides, surges, waves, and sedimentation/resuspension processes on the natural morphology and built infrastructure of the Tees estuary, and to inform the suitability of specific sites along the estuary for the location of NBS installations.
Deadline : 28 February 2025
(27) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Chemoenzymatic total synthesis of MDA based materials
During this PhD project you will develop and optimise a novel bio-based chemoenzymatic route for the synthesis of MDA (4,4’-methylene dianiline). This molecule is a vital chemical precursor widely utilised in industry for producing polyurethanes, coatings, dyes, and adhesives. The production of MDA currently depends on fossil-based chemicals, leading to volatility in both its price and availability. Furthermore, MDA synthesis generates substantial amounts of environmentally harmful waste products. Given the issues of cost, safety, sustainability, and environmental impact, coupled with the rising industrial demand for MDA, there is now an urgent need to develop alternative methods for the production of this important compound.
This project builds on innovative methods established by the supervisory team and will be conducted in partnership with Victrex Manufacturing Ltd, who will contribute expertise and resources. This studentship will offer training in chemical synthesis, enzymology, engineering biology, and microbiology.
Deadline : 28th February 2025
(28) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: DEPTHS: Data-driven Evaluation of Pollutant Dispersion in Urban Areas by Detached Eddy Simulation and Experiment
Urban air pollution is a pressing global issue, with growing urban populations amplifying the need for accurate predictions and effective improvements in air quality around buildings. This project combines Computational Fluid Dynamics (CFD) and experimental approaches to investigate pollutant dispersion in urban environments.
At Newcastle University, the CFD component (3 years) will focus on Detached Eddy Simulation (DES) under the guidance of Dr. Amir Fard and Dr. Francesco Zonta. To complement this, wind tunnel experiments (1 year) will be conducted at Durham University with Dr. Lian Gan, using scaled urban topology models. Finally, Data Assimilation (DA) techniques will enhance low-cost RANS models by tuning their parameters using high-fidelity results from DES and experiments, improving the accuracy of eddy viscosity-based RANS simulations for urban flows.
Deadline : 7th March 2025
(29) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Energy-SuDS: The potential of heat exchange in Sustainable Drainage Systems for decarbonising heating and cooling
There is no more important challenge in engineering than that presented by climate change. This project is at the cutting-edge of this challenge as it seeks to explore opportunities to both decarbonise our single greatest energy use (space heating and cooling) in combination with sustainable, nature-based solutions to adapt our urban areas to cope with ever-increasing extremes in weather e.g., high intensity rainfall induced flooding, prolonged drought and heat waves. Sustainable Drainage Systems (SuDS) are a form of increasingly widespread Green Infrastructure, offering multiple benefits besides the management of urban runoff. Ground Source Heat is a well-established technology for providing low-carbon heating/cooling that exploits low-grade heat recovery using buried heat exchangers in a variety of forms. Combining these approaches is a potential game-changer in how we can meet the long-term needs of society. Building on previous trials at the UKCRIC National Green Infrastructure Facility (NGIF), based at Newcastle University, this project broadly aims to investigate the untapped potential of co-locating ground source heat exchangers in SuDS to improve efficiency and enhance uptake of both technologies.
Deadline : Friday 28 February 2025
(30) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Federated Multi-task Learning under Dynamic Sensor Networks for Edge-enabled Sleep Management
Edge-based sleep management offers an accessible solution for monitoring sleep patterns, gaining insights into sleep-related issues, and personalised sleep health management. However, the dynamic nature of sensor networks caused by frequently adding and removing nodes has become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address the challenges of dynamic sensor networks for sleep management. Through the joint supervision between multiple disciplines, the student will be offered a unique opportunity to develop a robust personal portfolio in edge intelligence for healthcare while gaining comprehensive training in both professional and ethical aspects of research.
Deadline : 7th March 2025
(31) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Human Motor Learning in Augmentation
The project will study the dynamics of human motor learning in augmentation scenarios, that is how people become skilled in controlling an extra robotic arm to complete tasks that require three arms. You will assess how healthy participants perform in such ‘trimanual’ tasks, controlling the supernumerary robotic arm and receiving different supplementary feedback; you will also investigate how such performance varies in the long-term and generalize to real complex tasks involving physical interaction. Through this project you will gain expertise in robotics, neuroscience and human sensorimotor augmentation, while contributing to advancing the understanding of human-robot interaction and motor learning in the context of augmentation.
Deadline : 7th March 2025
(32) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Investigating Confined Molecular Transport for Next-Gen Fluidic Innovations (Students World-wide)
The exploration of molecular transport at small scales is less studied compared to its electronic counterpart. However, significant progress has been made in the last decade, particularly in creation of nanometer-sized artificial capillaries, which have opened new research frontiers in nanofluidics. Now is the perfect moment to move beyond traditional molecular transport measurements and pioneer experiments that probe the physics of molecular transport. This PhD project will focus on creating confined interfaces to investigate the physics of both static and dynamic molecules. Further details: https://gtr.ukri.org/projects?ref=MR%2FX03660X%2F1
Deadline : 28 February 2025
(33) PhD Degree – Fully Funded
PhD position summary/title: PhD studentship: Multi-fidelity digital twin of coastal infrastructure for enhanced resilience.
Coastal communities are increasingly vulnerable to climate change, facing challenges such as rising sea levels, stronger storms, and coastal erosion. This project focuses on improving the resilience of critical coastal infrastructure by developing a digital twin – a virtual model that combines real-time data and advanced simulations to support better decision-making. At its core are physics-informed neural networks (PINNs), which integrate physical laws with machine learning to provide accurate, real-time predictions of coastal processes. The digital twin will bring together different types of models and observations to guide long-term planning and emergency responses. The North Tyneside Coast will serve as a case study, ensuring the approach is practical, robust, and valuable for managing future coastal risks.
Deadline : 7th March 2025
About Newcastle University, England –Official Website
Newcastle University (legally the University of Newcastle upon Tyne) is a public research university based in Newcastle upon Tyne, North East England. It has overseas campuses in Singapore and Malaysia. The university is a red brick university and a member of the Russell Group, an association of research-intensive UK universities.
The university finds its roots in the School of Medicine and Surgery (later the College of Medicine), established in 1834, and the College of Physical Science (later renamed Armstrong College), founded in 1871. These two colleges came to form the larger division of the federal University of Durham, with the Durham Colleges forming the other. The Newcastle colleges merged to form King’s College in 1937. In 1963, following an Act of Parliament, King’s College became the University of Newcastle upon Tyne.
The university subdivides into three faculties: the Faculty of Humanities and Social Sciences; the Faculty of Medical Sciences; and the Faculty of Science, Agriculture and Engineering. The university offers around 175 full-time undergraduate degree programmes in a wide range of subject areas spanning arts, sciences, engineering and medicine, together with approximately 340 postgraduate taught and research programmes across a range of disciplines.The annual income of the institution for 2021–22 was £543.2 million of which £109.6 million was from research grants and contracts, with an expenditure of £624.3 million.
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