Are you holding Master’s degree and looking for fully funded PhD positions? University of Dundee, Scotland invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Optimizing Elastic Membranes and Plates Using PDE-Constrained Models
Summary of PhD Program:
Elastic membranes and plates are essential components in structural mechanics, widely used in designing structures and tools. Improving these membranes and plates can significantly enhance the effectiveness of various applications, and mathematical models provide critical insights into their optimization. This project employs elliptic partial differential equations (PDEs) and elliptic eigenvalue problems to study elastic membranes and plates. We aim to answer questions like: how should materials with different densities be distributed within a membrane or plate? What is the optimal thickness, or the ideal density profile, to achieve specific frequencies or minimize load potential?
Application Deadline: Open until filled
2. Fully Funded PhD Position in Generative Deep Learning for Cardiac MRI reconstruction and motion compensation
Summary of PhD Program:
Cardiac Magnetic Resonance Imaging (MRI) reconstruction is the process of creating high-resolution, detailed images of the heart using data obtained from MRI scans. It involves reconstructing the raw data acquired during the MRI scan into visual representations of the heart’s anatomy, function, and blood flow. In clinical practice, cardiac MRI reconstruction is crucial for assessing cardiac function, myocardial tissue characterization, identifying congenital or acquired heart diseases, and guiding treatment decisions. It enables detailed evaluation of cardiac anatomy, ventricular volumes, ejection fraction, myocardial perfusion, and viability, among other parameters.
Application Deadline: Open until filled
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3. Fully Funded PhD Position in Novel Deep Learning models for Material Decomposition in Spectral Computed Tomography
Summary of PhD Program:
In this project you will answer these questions by developing new algorithms, based on deep learning and optimization, and analysis techniques towards robust computational image reconstruction for PCD-SCT. The project is expected to further advance current developments of supervised (or self-supervised) model-based deep learning with convolutional network and deep generative prior. The expected project’s outcomes will involve writing research papers with the developed methods together with the creation of the software to reproduce the results and clinical validation.
Application Deadline: Open until filled
4. Fully Funded PhD Position in The development of nanoparticle antimicrobial coatings and DNA sensing
Summary of PhD Program:
The development of antimicrobial resistant coatings is to be investigated by the use of nanoparticle-based polymer films. Investigations include the development of PTFE – metal/metal oxide based thin films for antistick and antimicrobial properties and the development of DNA sensing from nanoparticle embedded polymer composites.
Application Deadline: Open until filled
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5. Fully Funded PhD Position in Developing a PDE-Based Model for Improved Cancer Treatment
Summary of PhD Program:
Cancerous tumors are among the deadliest diseases, causing countless deaths each year due to the rapid growth and invasion of malignant cells into healthy tissues, which damages organs and impairs their functions. To make informed treatment decisions and provide patient-specific therapies, a deeper understanding of tumor evolution is essential. Mathematical models based on Partial Differential Equations (PDEs) are powerful tools for describing tumor behavior, and this project aims to develop a realistic PDE-based cancer model to study tumor progression.
Application Deadline: Open until filled
6. Fully Funded PhD Position in Nonlinear wave shoaling in the presence of ambient current
Summary of PhD Program:
This project offers an exciting opportunity to explore the fascinating dynamics of water waves as they propagate from deep to shallow waters, shaped by the complex contours of the seafloor. As waves encounter uneven bathymetry, they undergo significant transformations, including refraction, diffraction, and even breaking. When ambient currents are present, these wave behaviours change significantly, affecting their height, speed, and direction, especially in coastal regions. In this project, you will study the interaction of nonlinear waves, including cnoidal and solitary waves, with various underwater landscapes, using both the advanced Green-Naghdi theory and state-of-the-art computational fluid dynamics via OpenFOAM.
Application Deadline: Open until filled
7. Fully Funded PhD Position in Drag embedment anchors for offshore renewable energies
Summary of PhD Program:
As offshore renewable energies are required in deeper waters, floating structures are going to become more important. The demand for economical mooring and anchoring of floating structures is increasing. The problem is that old offshore anchor design was very empirical and very conservative – a smarter approach is required for the future. Working closely with anchoring specialists from Dundee University and industry, the successful applicant on this project will rigorously investigate the mechanics of drag embedment anchors.
Application Deadline: Open until filled
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8. Fully Funded PhD Position in Inkjet printing for advanced battery and energy storage applications
Summary of PhD Program:
The project will focus on three key objectives: (1) Formulating and optimizing printable inks composed of nanoscale active materials, binders, and conductive additives tailored to different battery chemistries; (2) Exploring the structural and electrochemical properties of printed layers to establish relationships between printing parameters (e.g., droplet size, layer thickness) and device performance; and (3) Evaluating the integration of printed battery components to create prototypes of flexible, lightweight energy storage devices for applications in portable electronics, electric vehicles, and wearable technology.
Application Deadline: Open until filled
9. Fully Funded PhD Position in Experimental and Micromechanical Numerical Investigation of CPTu Installation in glauconite-rich soils
Summary of PhD Program:
This PhD research will explore the installation mechanics of Cone Penetration Testing with pore pressure measurement (CPTu) in glauconite-rich soils through a comprehensive experimental and micromechanical numerical approach [1 ,2]. Glauconite soils, characterized by their distinct mineralogy and complex mechanical behavior, present significant challenges in geotechnical site characterization. The project will combine high-precision laboratory experiments to simulate CPTu testing under controlled conditions, providing critical insight into the interaction between the cone and the soil matrix.
Application Deadline: Open until filled
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10. Fully Funded PhD Position in Analytical Modelling of Tree Stability Using Shallow Foundation Theory
Summary of PhD Program:
This PhD research will develop an advanced analytical model to predict tree stability under complex loading scenarios, drawing from the established theories of shallow foundation mechanics. Urban trees are essential for ecological balance, aesthetics, and public health, but their structural stability poses significant safety risks, especially under extreme weather conditions. The project will utilize a macroelement modeling approach [1], commonly applied in shallow foundation studies, to describe root-plate behavior subjected to combined cyclic loading from wind forces.
Application Deadline: Open until filled
11. Fully Funded PhD Position in Experimental and numerical modelling of a novel rock anchoring system for floating renewable energy mooring
Summary of PhD Program:
This PhD project will develop understanding and design procedures for a novel rock anchor that has been developed for simple installation in offshore environments where high tidal current velocities and environmental controls exist. The anchor concept has the benefit of being self-drilling and does not require any additional grouting operations. The anchor will be designed and optimised to operate under the specific requirements for floating tidal stream generators and future floating wind.
Application Deadline: Open until filled
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12. Fully Funded PhD Position in Surface modification on metallic biomaterials for biomedical applications
Summary of PhD Program:
Because of their superior biocompatibility, metallic biomaterials like magnesium (Mg) alloys are thought to be promising implant materials for biomedical applications. Magnesium is a necessary mineral that supports numerous enzymes and is involved in human metabolism. The mechanical properties of magnesium alloys are more similar to those of human bone than other frequently used artificial implant materials, which avoid the stress shielding. However, magnesium alloys corrode quickly and release hydrogen gas into the physiological system as a result.
Application Deadline: Open until filled
13. Fully Funded PhD Position in Real-time Multimodal Argument Mining
Summary of PhD Program:
Argument Mining (AM) is the task of identifying argumentative reasoning patterns and structures in natural language documents [1]. Typically, AM systems have been trained and developed considering only text sources of data (e.g., written essays or debate transcripts), without including any acoustic information in the process [2, 3]. In the case of spoken argumentation such as political debates, audio can contain relevant information that can be used to improve the performance of AM systems [4, 5]. Furthermore, audio is the natural medium in which arguments are exchanged in spoken contexts.
Application Deadline: Open until filled
14. Fully Funded PhD Position in Beyond Lysine: Exploring the Functional Consequences of Non-Canonical Ubiquitination in Health and Disease
Summary of PhD Program:
Ubiquitination is a fundamental post-translational modification (PTM) crucial for a wide range of cellular processes, including protein degradation, localization, quality control, DNA repair, cell signalling, and immune responses. Traditionally, ubiquitin attaches to lysine residues via isopeptide bonds. However, recent advances have uncovered a novel form of ubiquitination – non-canonical ubiquitination – where ubiquitin binds to serine, threonine, and other hydroxyl-containing biomolecules through ester bonds. This dynamic and less stable modification challenges established paradigms and opens up new possibilities for interactions with other PTMs, such as phosphorylation and glycosylation, which could have far-reaching consequences on cell biology.
Application Deadline: Open until filled
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15. Fully Funded PhD Position in Graph neural networks integrating structural and functional brain networks to characterise major neuropsychiatry diseases
Summary of PhD Program:
Brain networks are simplification models for characterising the complex system of brain functions and structures. The structural networks from diffusion MRI can indicate the white matter connectivity between separated brain regions, while functional networks from resting-state functional MRI can reflect the functional co-activation across the brain cortices. Graph neural networks (GNNs) promise to integrate multiple types of brain networks and characterize the structure and function of the brain. The project will work with the School of Medicine (Supporting the use of data for health care research – Image on a Mission), in collaboration with Cambridge Mathematics of Information in Healthcare.
Application Deadline: Open until filled
16. Fully Funded PhD Position in A genome-wide and phenome-wide association study of brain MRI phenotypes and pathological brain ageing
Summary of PhD Program:
The aetiology of pathological brain ageing reflects the interactions of genetic predisposition, environment, and lifestyle risk factors. The project aims to perform genome-wide and phenome-wide association studies on the genetics and imaging data acquired from a large population. Using state-of-the-art artificial intelligence methods, we will investigate brain MRI phenotype and identify how they influence brain structures and function in the ageing population. The research outputs have the potential to better understand the aetiology of dementia and understand brain ageing.
Application Deadline: Open until filled
17. Fully Funded PhD Position in AI for precision neuro-oncology
Summary of PhD Program:
AI is emerging as a powerful tool for precision medicine and could transform healthcare. In clinical practice, it remains a challenge to monitor brain tumours and early predict progression. This project aims to develop AI tools for brain tumour monitoring based on longitudinal brain MRI and clinical variables. The algorithm will re-align heterogeneous MRI scans, segment the tumour, and perform probabilistic progression prediction with uncertainty quantification. The project will be based on the collaboration with the Department of Clinical Neurosciences, University of Cambridge.
Application Deadline: Open until filled
18. Fully Funded PhD Position in A diffuse-interface approach to investigating the biomechanical processes governing micro-circulation
Summary of PhD Program:
Blood flow takes place in a complex circulatory system with branching tubes of varying diameters, and possesses geometry dependent fluid mechanical properties. One of the non-trivial complexities in modelling micro-circulation arises due to the micro-vessel diameters being comparable to blood-particle dimensions, necessitating a two-phase flow model which accounts for the cells and blood plasma separately. The purpose of this project is to develop comprehensive mathematical models and efficient numerical methods for the in silico investigation of the biomechanical processes governing micro-circulation.
Application Deadline: Open until filled
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19. Fully Funded PhD Position in Innovative application of machine learning technology for automation of dental landmark identification in 3D digital scans
Summary of PhD Program:
The stigma resulting from dental and facial birth defects due to deformity and scarring remains even after surgical repair. Dental impressions using plaster models are challenging and uncomfortable. Measuring these models, using various indices is subjective, lacks precision and consistency, and requires special training. This project is aimed at resolving all of these problems by using the latest optical scanning technology to capture the top and bottom teeth, and develop 3D medical image processing, geometric and machine learning methods to automatically capture landmarks, profile and score the teeth using the objective Modified Huddart Bodenham (MHB) index developed in Dundee which avoids human-in-the-loop unreliability.
Application Deadline: Open until filled
20. Fully Funded PhD Position in Developing Low Carbon Concrete Using Wood-based Biomass/Coal Ash Blends
Summary of PhD Program:
Electricity from biomass involves the burning of plants or other biomaterials, most commonly timber/agriculture, which also leads to the production of (biomass) ash. It is estimated that quantities of this may exceed 450 Mt worldwide by 2050. The need to reduce biomass ash disposal has led to efforts in identifying applications for the material. While there is some experience with the material in low value construction situations, e.g., as fill or sub-base in roads, there may also be scope for use in developing low carbon concretes.
Application Deadline: Open until filled
21. Fully Funded PhD Position in Sustainable and Intelligent Manufacturing of Metallic Materials and Structures
Summary of PhD Program:
The global warming crisis has accelerated a global need for sustainable and green manufacturing which minimises negative environmental impacts while conserving energy and natural resources. Sustainable manufacturing of metallic materials and structures reduces the generation of waste, the extraction and consumption of resources, and energy demands and CO2 emissions, which are crucial for improving resource efficiency and leading to a low-carbon future.
Application Deadline: Open until filled
22. Fully Funded PhD Position in Customisation of the Kolmogorov-Arnold representation for various data modelling tasks and corresponding adaptation of the model training procedure
Summary of PhD Program:
The Kolmogorov-Arnold representation is a proven alternative for neural networks. Until recently, its usage has been limited by the lack of reliable model training algorithms. Recent publications by Dr. M. Poluektov unblocked the path for the further research such as application and adaptation of some techniques already researched and used in the neural networks. These can be additional hidden layers, use of batches in training process, Monte-Carlo dropouts for model reduction and accuracy improvement, etc.
Application Deadline: Open until filled
23. Fully Funded PhD Position in A long-term variability study of young stars: Periodicity, hot spots, accretion and early evolution at the time of planet formation
Summary of PhD Program:
Young stars are variable due to the processes happening on the star and its protoplanetary disk at the time of planet formation. The star-disk connection holds the clues to open questions including the origin of planetary systems and habitable planets. Early stellar evolution depends on accretion, angular momentum and mass transport between disk and star (affecting stellar activity), planet formation and migration (linked to accretion), and the cluster environment and structure. Existing studies are limited by the scale: few stellar radii to sub-au, impossible to map even with interferometry.
Application Deadline: Open until filled
24. Fully Funded PhD Position in Simultaneous 3D Reconstruction and Anomalies Detection of Tunnel Lining with Deep Learning
Summary of PhD Program:
Creating a layout plan of tunnel lining abnormalities is one of the most important step of tunnel inspection and maintenance since it can demonstrate the distribution and features of lining surface anomalies (e.g., cracks, spalling, and leakage) directly. Digital image processing and computer vision-based technology can be used to identify anomalies and changes in the tunnel lining from images taken by hand or through a robot while moving along the tunnel. The images can also be used to build a 3D model of the tunnel structure, on which anomalies can be located. These two problems, anomalies detection and 3D reconstruction, are often solved independently making the process lengthy.
Application Deadline: Open until filled
25. Fully Funded PhD Position in A robust and accurate facial 3D reconstruction method from images acquired by mobile devices at home for facial growth monitoring
Summary of PhD Program:
Diseases affecting facial growth require highly accurate facial 3D scan to diagnose, monitor and plan treatment. Currently, the gold standard for capturing such data is to use digital stereo-photogrammetry systems in a clinical setting with healthcare professionals allowing for sub-millimetre accuracy. Recently, 3D reconstruction from facial images captured by smartphone has shown potential as an alternative in the same settings [9-12]. The project in which this PhD takes place aims to instead use patients’ smartphones at home to acquire by themselves images suitable for highly accurate facial 3D reconstruction through a purpose-made mobile application.
Application Deadline: Open until filled
26. Fully Funded PhD Position in Modelling of Microplastic Transport in Open-Channel Flows
Summary of PhD Program:
The aim of this project is to develop a new physics-based modelling approach to inform improved monitoring strategies through accurate predictions of the concentration distributions of microplastic wastes in natural open-channel flows (e.g. river channels and estuaries). This will help identify hotspots for plastic accumulation within the channel cross-sections and their ultimate fate. These approaches will be applied within idealised channels to understand the underlying physics.
Application Deadline: Open until filled
27. Fully Funded PhD Position in Optical coherence angiography (OCTA) for non-invasive structural and microvascular imaging in the oral cavity
Summary of PhD Program:
Optical coherence tomography (OCT) is an inexpensive, non-invasive, highly portable and in vivo imaging tool. Functional extension of OCT has also been explored for optical coherence angiography (OCTA). OCTA can identify red blood cell mobility against the relatively static surrounding tissue by highlighting the temporal change of sequence scans. It can therefore provide high resolution images of structural and microvascular architecture of tissues including the changes in lesional or cancerous tissues.
Application Deadline: Open until filled
28. Fully Funded PhD Position in Deep Learning for Computational Imaging in Optical Coherence Tomography
Summary of PhD Program:
Optical Coherence Tomography (OCT) is a non-invasive imaging technique that provides high-resolution, cross-sectional images of biological tissues, and it plays a crucial role in several medical applications. Fast acquisition and reconstruction are crucial in ophthalmology, for real-time diagnosis and monitoring of retinal conditions like macular degeneration, cardiology, where the high-speed imaging of blood vessels can benefit from OCT, and dermatology for skin cancer detection.
Application Deadline: Open until filled
29. Fully Funded PhD Position in Modelling nonlinear coastal dynamics under extreme conditions
Summary of PhD Program:
This project tackles one of the most pressing challenges in coastal engineering: the impact of climate change on coastal dynamics and infrastructure. Rising sea levels and the intensification of extreme oceanic events are transforming the coastal landscape, leading to more frequent and severe storm surges. These surges enable larger, more powerful waves to reach further inland, creating unprecedented forces on coastal structures and defences. Traditional designs are inadequate to withstand these new, extreme conditions.
