University of Southampton, 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 University of Southampton, England.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Synthesis of building blocks for evolution of polymerases
The polymerase chain reaction (PCR) has revolutionised all aspects of research and applications that involve the manipulation of DNA. While the technology has been optimised and is part of standard protocols in many laboratories, it hinges on the availability of specialised equipment, including PCR cyclers or gel electrophoresis. These are usually not an issue for a well-equipped lab, but may not be available in lesser funded places. In particular technologies like SELEX to find aptamers are resource intensive.
As part of the Horizon Europe funded project ON-TRACT, we will develop a system based on reversible internucleosidic linkages that will create a dynamic combinatorial library of oligonucleotides, and evaluate its properties to replicate (via templating) specific DNA sequences. The system will then be tested for its response to specific templates, which can include up to cell receptors.
The selection and amplification process is promising to deliver aptamers without the need for SELEX. This system will then be further used to evolve novel ligases and polymerases for sustainable oligonucleotide synthesis. Applications in cancer therapy, particularly aimed at lung cancer, are envisaged during this project.
Deadline : 28 Feb 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: Early fault-tolerant quantum algorithms for drug discovery
This project aims to develop new early fault-tolerant quantum algorithms for drug discovery. You’ll design next-generation quantum algorithms, apply them to binding affinity, free-energy and spectroscopic predictions, and test them on real quantum hardware—advancing foundational theory, practical software development, and quantum use-cases.
Deadline : 31 Mar 2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: Sustainable batteries for smart textiles for healthcare
Batteries to power smart textiles for healthcare applications need to be completely safe and non-toxic, as well as energy dense and lightweight. These requirements are usually conflicting, but ‘smart’ materials combinations bring new and exciting opportunities. For example, highly coordinated water exhibits much higher stability than ‘normal’ water, thus enabling the fabrication of aqueous-based batteries with a high voltage operation, that are non-toxic, safe and deliver high energy. The integration of batteries on textiles is another major challenge in smart textile fabrication, but it can be turned into an advantage by using the fabric as one of the battery components.
This project will investigate the development of ‘smart’ materials combinations, using non-toxic polymers, additives and water, to build sustainable batteries that will be seamlessly integrated in textiles. The project is part of the SUSTAIN programme grant, which aims to develop the next generation of smart clothing.
Deadline : 1 Jun 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: Dynamical black hole mass measurements at high redshift with GRAVITY+
Recent observations suggest that quasars in the early universe have SMBHs that are too massive to form in the short time since the big bang, shaking the foundations of cosmology and our understanding of black hole growth. The main problem is that we cannot be sure that the methods employed to estimate those SMBH masses are reliable in the conditions of the early universe. GRAVITY+ will deliver transformational capabilities to measure spatially resolved, dynamical supermassive black hole masses up to redshift 4.5 and possibly beyond. Our first data from such a high redshift quasar indicate that current mass estimates may indeed be out by a factor of 10.
Using these new GRAVITY+ measurements, we will be able to recalibrate early universe measurements and deliver precise and accurate SMBH masses. As part of this project, you’ll work on GRAVITY+ data of quasars between redshift 1 < z < 4.5, perform dynamical modelling to determine the SMBH masses, and compare those measurements to estimates from more generic methods used in the early universe. With this comparison, you’ll be able to characterise how high-luminosity, fast growing objects are offset from local sources and how early universe mass estimates need to be corrected.
Deadline : 31 Jan 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: Designing smart space structures for extreme environments: from nonlinear dynamics to resilient mechanisms
Future space missions will rely on smart, lightweight structures capable of surviving extreme environments — from vibration and temperature swings to abrasive lunar dust and orbital debris. This PhD project will develop AI-augmented methods to predict, control, and enhance the performance of nonlinear mechanisms that enable such resilience in space applications. In collaboration with the European Space Agency (ESA), the research combines nonlinear dynamics, compliant mechanism design, and machine-learning-based prediction and control to create adaptive, efficient structures for the next generation of spacecraft and planetary systems.
You will investigate how data-driven tools can complement physics-based models to forecast complex dynamic responses, guide topology-optimised designs, and improve damping and stability under uncertain or changing conditions.
The scope of this project can be tailored to your background and interests, ranging from:
- structural design and topology optimisation
- nonlinear vibration and control systems
- orbital and dynamic interactions of moving components, to
- mechanical resilience and debris-impact modelling.
Deadline : 30 Sep 2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: Nanostructured neural architectures for sustainable neuromorphic computing
You will design and fabricate nanoscale neural elements using emerging semiconductors, such as 2D materials, ferroelectric polymers, and hybrid organic–inorganic systems, exploring their potential for in-memory sensing, learning, and computation. By integrating these materials into scalable device arrays, the project aims to create neuromorphic systems capable of energy-efficient information processing.
Working within the SustAI CDT’s multidisciplinary environment, you will collaborate with researchers across electronics, photonics, and machine learning to advance the next generation of green intelligence technologies—bridging materials innovation and sustainable AI architectures. You will join the multi-disciplinary Flexible Nanoelectronics Lab, work at the world-class labs of the Optoelectronics Research Centre, while you will have the opportunity to build connections with UK and European research partners by being affiliated also with the UK Multidisciplinary Centre for Neuromorphic Computing.
Additionally, you will be encouraged to attend major conferences, sharing your work and networking with leading experts. The outcomes of your research can have various applications, such as Internet of Things and edge computing, AI, artificial vision, high density data storage for wearable devices, and many others. This project is a chance to contribute to emerging technologies with the potential to revolutionise data processing and computing, while gaining skills, recognition, and experience that will position you as a leader in the field of nanoelectronics and memory technology.
Deadline :17 Jul 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: Flexible Hybrid thermoelectric materials and devices
This project aims to develop flexible micro thermoelectric generators integrated into textiles to power wearable electronics. Using low-cost electrodeposition and screen-printing on flexible substrates like Kapton or Mylar, these devices will harvest body heat for self-powered wearables, offering durable, scalable, and practical energy solutions for healthcare, defence, and sports applications.
Deadline : 1 Apr 2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Development of advanced intelligent systems for enhancing reliability and mission assurance of small satellites
Small satellites are revolutionising space access by enabling fast, low-cost development. However, their risk-tolerant nature often leads to mission failures, especially in early generations. Unlike traditional satellites, small satellite teams are small, with a low level of experience, and their risk assessment practices are rarely shared across institutions or countries, limiting collective learning and improvement.
Using publicly available data from over 2,500 past small satellite missions, you’ll apply big data analysis and natural language processing to extract and analyse on-orbit malfunctions. AI tools will overcome language barriers, enabling access to global datasets, including non-English sources. The result will be a comprehensive malfunction database and a risk assessment tool that prioritises risks based on mission type and team experience. It will also propose cost-effective countermeasures, allowing future small satellite developers worldwide to make informed decisions regardless of location or language.
Deadline : 30 Jun 2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: AI for circular economy, policy design and industrial collaboration
The circular economy (CE) aims to minimise waste and maximise resource reuse in supply chains and manufacturing through systems of sustainable production and consumption. But identifying viable collaboration opportunities, designing fair contracts, and evaluating policy incentives in this space remains a significant challenge. This project investigates how AI can support opportunity evaluation and decision-making in the CE. You’ll develop methods to assess business-to-business (B2B) synergies, simulate policy interventions, and design smart contract mechanisms.
Building on techniques from game theory, algorithmic mechanism design, and agent-based simulation, this project contributes novel methods for answering the following questions:
- How can decision support methods such as cooperative game theory help evaluate potential B2B industrial synergies for circular material and energy exchange? If a firm has multiple opportunities, which ones should it filter out, and how can advanced machine learning techniques support this, given that firms have limited observability over the involved costs and benefits?
- How can mechanism design enable fair, stable, and dynamic contracts (especially for cost and benefit sharing) in circular bilateral relations and industrial parks or networks? Once we have decided on whom to collaborate with, what forms of smart contracts work to ensure that our collaboration remains stable against the seasonality of waste streams and volatilities in the market, consumer behaviour, and supply and demand?
- How can local authorities use AI-supported simulation techniques (e.g., agent-based modelling) to evaluate the long-term effects of different policy instruments (e.g., taxes, subsidies) on the adoption of CE practices? If an authority has a budget to provide support, whom should they support, to what extent, and how should they prioritise?
Deadline : 27 Jan 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: Energy efficient optical network-on-chip systems
The main research will focus on developing innovative solutions for energy-efficient Optical Networks-on-Chip (ONoC) systems to tackle the challenges faced by modern optical communication technologies. Silicon photonics (SiP) has become a crucial technology to overcome the limitations of traditional electrical interconnects in terms of bandwidth, latency, and energy efficiency. With the growing global demand for IP traffic, these challenges highlight the need for advanced communication systems. Your research will involve exploring advanced wavelength routing topologies and studying cutting-edge modulation techniques for devices.
You’ll focus on the design and optimisation of key photonic devices such as grating couplers, Microring Resonators and Mach-Zehnder interferometers. In addition, you’ll work on developing reconfigurable photonic Network-on-Chip circuits to enhance energy efficiency and overall system performance.
Deadline : 18 Feb 2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: A Quantum Leap for Quantum Technology
Are you passionate about quantum technologies and cutting-edge photonics? Join the Hollow Core Fibre Group at the University of Southampton, in collaboration with Microsoft Azure Fiber, to help shape the future of quantum computing and communication.
Deadline : 31 Jul 2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: Shaping the Future of Global Communications with Hollow Core Fibres
Are you a graduate in physics, engineering, materials science, chemistry, or a related discipline? Do you want to be part of a technological revolution that could redefine how the world communicates? Join our cutting-edge PhD project at the Optoelectronics Research Centre (ORC) – in collaboration with Microsoft Azure Fiber
Join our cutting-edge PhD project to help develop the next generation of Hollow Core Fibres (HCFs). These innovative fibres guide light through air rather than glass, offering the potential to dramatically increase the speed, efficiency, and performance of global data transmission.
Deadline : 31 Jul 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: Grating waveguide structures for high-power lasers
Novel dispersive photonic devices are opening up incredible possibilities for efficient lasers and light manipulation. We’re looking for a passionate PhD student to join a Marie Skłodowska-Curie Action doctoral training network and push the boundaries of what’s possible with nanofabrication technology.
Nanofabrication covers groundbreaking techniques to structure materials at dimensions smaller than the wavelength of visible light, enabling new light-matter interactions via a metasurface structure coupled to a waveguide. By advancing our understanding and development of scalable nanofabrication processes on a silicon platform, you’ll be at the forefront of creating the next generation of advanced optical components enabling novel laser systems for future photonics applications.
Deadline : 31 Mar 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: Dielectric all-crystalline grating waveguide reflectors
Pulsed laser deposition (PLD) is a ground-breaking technique that uses light to create new materials and waveguide devices. By advancing our understanding and development of scalable crystal structures, coupled with patterning them at the nanoscale, you’ll be at the forefront of creating the next generation of advanced optical components enabling novel laser systems for future photonics applications.
What you’ll do:
- innovate: design, grow, and characterize advanced crystalline materials for dispersive resonant reflector devices
- collaborate: work with a dynamic team and engage in interdisciplinary research
- experiment: gain hands-on experience with cutting-edge techniques, lasers, and honing your practical skills
- explore: help develop a deeper understanding of PLD dynamics and device applications
Deadline : 31 Mar 2026
(15) PhD Degree – Fully Funded
PhD position summary/title: Development of high-performance miniaturised ultrasonic devices for precision minimally invasive surgery
Ultrasonic surgery has attracted growing attention for its potential to provide minimally invasive alternatives to conventional procedures, offering advantages of low force, high precision, tissue selectivity, reduced collateral damage, and faster post-operative recovery. However, the current state-of-the-art ultrasonic surgical devices are predominantly based on single or multiple half-wavelength resonators, which present significant challenges for integration with the flexible endo-wrist mechanism of surgical robots, thereby limiting their applicability in complex minimally invasive interventions.
This project seeks to transform the design of conventional ultrasonic transducers by introducing novel configurations and advanced structures for miniaturised surgical devices. The research will investigate various classes of flextensional configurations to evaluate their potential for device miniaturisation through both modelling and physical prototyping. In parallel, metamaterial-inspired structure will be incorporated to tailor vibrational behaviour and achieve controlled dynamic responses.
Deadline : 30 Jun 2026
(16) PhD Degree – Fully Funded
PhD position summary/title: System identification of nonlinear space structures via physics-informed machine learning
Modern space systems, from spacecraft components to precision sensors, operate in extreme and hostile environments. To meet stringent performance demands while minimising payload mass, ultra-lightweight high-performance structures are increasingly employed in space missions. Although such advanced structures offer exceptional capabilities, they often exhibit nonlinear dynamic behaviours which cannot be captured by employing classical linear models. Such behaviours arise from geometric nonlinearities, friction, contact, and complex damping mechanisms, all of which critically impact the performance, stability, and reliability of space structures. In this context, developing novel tools for the analysis, identification, and prediction of the dynamics of nonlinear systems is essential for designing, testing, and validating the next generation of space technologies.
This project will combine numerical modelling, advanced analytical techniques, and experimental methods to develop a novel approach for the identification of nonlinear systems. Specifically, this project aims to:
- develop a novel nonlinear system identification method based on physics-informed machine learning approaches, capable of producing computationally efficient reduced-order models and enabling accurate, efficient modelling of complex space structures
- investigate the accuracy and extrapolation capabilities of the identified reduced-order models, identifying pros and cons of the proposed approach
- validate theoretical and numerical results through state-of-the-art experimental facilities
Deadline : 31 Aug 2026
(17) PhD Degree – Fully Funded
PhD position summary/title: Thermofluid topology optimisation
Topology optimisation has shown great promise in structural mechanics and is now rapidly emerging as a powerful tool in thermal-fluid applications. The goal of this research is to extend and enhance an existing thermofluid TopOpt platform to handle multi-objective performance criteria, manufacturing constraints, and large-scale computational domains relevant to real-world energy and cooling systems.
This project will involve developing and testing advanced algorithms capable of capturing key flow and heat transport behaviours within a robust optimisation loop. You will work with high-fidelity numerical solvers for fluid flow and heat transfer, integrated with automatic differentiation and scalable optimisation techniques, all within a high-performance computing environment.
You will develop and apply advanced simulation tools to design next-generation thermal-fluid systems for energy and transport applications. You will work at the intersection of fluid dynamics, heat transfer, and computational design. You will gain expertise in computational fluid dynamics (CFD), optimisation algorithms, numerical methods, and high-performance simulation tools. You will also have opportunities to collaborate with other researchers in fluid mechanics and thermal system design.
Deadline : 31 Mar 2026
(18) PhD Degree – Fully Funded
PhD position summary/title: AI-based virtual microphone technique for automotive applications
The field of automotive noise control is growing rapidly, with active noise reduction inside car cabins emerging as a major research focus. Automotive active noise control systems aim to create carefully designed sound fields (anti-sound) using car-mounted loudspeakers to cancel unwanted noise. While effective at controlling engine noise due to its tonal nature, these systems face challenges with broader noise sources like road noise, as controlling sound fields over large spaces is difficult at high frequencies.
This limitation can be overcome by enabling localized active noise control around the driver’s and passengers’ ears. This can be achieved without the use of in-ear microphones. A crucial step is therefore estimating the sound pressure at the ears. The goal of this project is to develop AI-based technology that predicts sound pressure at the listener’s ears using signals from microphones positioned near, but not at, the ears; for example, on seat headrests.
Deadline : 28 Feb 2026
(19) PhD Degree – Fully Funded
PhD position summary/title: Development of a miniaturised plug-and-play in-situ plasma measurement instrument for small satellites
This project aims to design and develop “PlasmaCube,” a real-time plasma measurement payload for CubeSats using Langmuir probe principles. It offers hands-on experience in space systems engineering, electronics, and data systems.
Small satellites, especially CubeSats, are transforming space missions, from Earth observation to deep space exploration. However, over half of CubeSat missions fail, often due to system malfunctions caused by the harsh and unpredictable space environment. Understanding and mitigating these failures is critical to improving mission success.
This project addresses the challenge by developing PlasmaCube, a real-time in-situ plasma measurement payload based on the Langmuir probe principle. The system will include optimally designed electrodes, nano-level current measurement electronics, a control system, and a robust data collection unit. The goal is to create a standardized, plug-and-play diagnostic payload for CubeSats and other small satellite platforms.
Deadline : 31 Jul 2026
(20) PhD Degree – Fully Funded
PhD position summary/title: Novel Phase Change Materials for integrated photonics
The current increase in data generation is expected to reach unsustainable rates by the end of the decade. This has a strong impact on the environment and therefore new solutions are sought after. The project work is to build the most efficient components by developing the next generation of advanced materials to achieve sustainability in AI applications.
Deadline : 31 Aug 2026
(21) PhD Degree – Fully Funded
PhD position summary/title: Large area 2D semiconductor platforms
Revolutionising the semiconductor industry with next generation 2D materials and devices.
Moore’s Law is currently being challenged with Nvidia CEO recently claiming it is over. The scaling of transistors cannot continue due to physical limitations of silicon posing a threat to the sustainable evolution of new technologies.
2D semiconductors offer the solution as they can be scaled to the molecular level and create in-memory computing components one of the key elements for neuromorphic computing the hardware that will support the next generation of artificial intelligence.
The project aims to create a revolutionary semiconductor platform using 2D materials to enable electronic, photonic and energy application while unlocking the ultimate limit in miniaturisation of semiconductors. You will benefit from state-of-the-art custom large area 2D equipment not available anywhere else and from one of the most advanced university cleanrooms in the UK.
Deadline : 31 Aug 2026
(22) PhD Degree – Fully Funded
PhD position summary/title: Wavelength-flexible, single-frequency fibre lasers
Fibre lasers have seen a rapid development in output power and performance over the past three decades and have revolutionised the application space for photonics. Some applications specifically require high power to perform the intended tasks whilst others require low noise and narrow linewidth.
This project is focused on the development of wavelength-flexible single-frequency sources to support and facilitate several practical applications including:
- high-precision metrology
- spectroscopy
- remote sensing
- frequency conversion
- gravitational wave detection
- coherent LIDAR
- emerging quantum computing applications
Deadline : 31 Mar 2026
(23) PhD Degree – Fully Funded
PhD position summary/title: Efficient and trustworthy CFD simulation of hypersonic glide vehicles under dynamic control
Our AMROC software infrastructure currently provides a validated, dynamically adaptive strand-mesh solver for high-temperature gas dynamics of axisymmetric bodies. Here, we will generalize AMROC’s automatic three-dimensional strand-meshing capability and apply it to the simulation of prototypical hypersonic glide vehicles, including models with active control effectors, and then couple this 3D CFD solver with a six-degree-of-freedom (6-DOF) flight dynamics and control model. To showcase the integrated capability, realistic constraints on aerothermodynamic heat loading, flap deflection, and thruster engagement will be considered.
This project will be carried out under the UK Hypersonics Doctoral Network, which has been supported by the Ministry of Defence and EPSRC to build the necessary expertise to develop next-generation hypersonic vehicles. You’re expected to attend cohorting and training activities in the UK Hypersonics Doctoral Network, led by the University of Oxford and Imperial College. Substantial training in fundamentals of hypersonics, hypersonic vehicle design, ground testing and numerical simulation will be provided as part of the UK Hypersonics Doctoral Network.
Deadline : 30 Jun 2026
(24) PhD Degree – Fully Funded
PhD position summary/title: Development of electrospray ionisation mass spectrometry for spacecraft missions
Electrospray ionisation mass spectrometry (ESI-MS) is the go-to technique for evaluating biological samples on Earth, used by tens of thousands of studies and a Nobel prize awarded in 2002. However, even though it is the gold standard method for complex molecule analysis, it has never been flown in space as an instrument to detect complex biosignatures that can indicate habitability on icy worlds (for example Jupiter’s moons). It generally requires atmospheric operation of an electrospray device into a vacuum chamber, which is a difficult setup in space. Moreover, the system is large and complex (typically the size of a large fridge).
Through a unique collaboration we will aim to resolve these issues. Firstly, we will apply electrospray techniques from spacecraft propulsion, using ionic liquids to produce very small ions containing the biological samples, an area in which Dr Charlie Ryan has widely published. Secondly, we will reduce the complexity and size of the mass spectrometer through miniaturisation techniques co-developed by Co-Supervisor Professor Geraint Morgan. Progessor Morgain’s mass spectrometers have successfully flown on the European Space Agency Rosetta and Beagle2 space missions, with various patented methods for controlling high voltages in mass spectrometers developed.
Deadline : 1 Jun 2026
(25) PhD Degree – Fully Funded
PhD position summary/title: Making nanoscale materials: precision fabrication of high-performance functional structures
Recent developments in the field of nanoparticles enable the fabrication of structures whose unique responses and functionalities arise from collective effects that cannot be achieved with any single material alone. In these systems, function follows form where precise fabrication and assembly of magnetic nanoparticles allow the creation of carefully engineered nanostructures embedded within electrically insulating materials. Such structures can be controlled and manipulated using a variety of external stimuli, including magnetic, optical, electrical, and mechanical forces.
This project focuses on the development of nanostructures for a range of applications, including energy and biomedicine. The project will employ lithographic techniques for the fabrication of nanostructures and will be based at the University of Southampton within a multidisciplinary team of researchers and students. Opportunities for travel will be available through national and international research collaborations, as well as attendance at workshops and conferences.
You’ll receive training in nanoparticle synthesis at the School of Engineering, alongside cutting-edge device fabrication and characterisation at the School of Physics and the Southampton Nanofabrication Centre. Additional training opportunities will arise through close collaborations with the School of Biosciences.
Deadline :30 Apr 2026
(26) PhD Degree – Fully Funded
PhD position summary/title: New dimensions in analytical chemistry: greater insights into complex samples
Volatile organic compounds are emitted by a wide range of materials. Assays that profile these compounds are of great importance in academia and industry, providing unique insights into complex samples. Gas chromatography-mass spectrometry is the preferred technique for compound identification in most analytical laboratories. However, in many cases traditional methods can be overwhelmed by the number of compounds present.
LECO is a leader in innovative analytical instrumentation, especially comprehensive gas chromatography-mass spectrometry (GCxGC-MS), which enables many more compounds to be resolved, identified and quantified. The supervisors have many decades of expert level experience in the development of advanced analytical solutions, solving challenges in numerous fields.
Deadline : 31 Mar 2026
(27) PhD Degree – Fully Funded
PhD position summary/title: Harnessing Topological Light through Metasurfaces for Intelligent 3D Endoscopy
This PhD project will develop metasurface-enabled intelligent optical sensing for rapid, accurate identification of miniature features in endoscopy. Building on recent funding from the Engineering and Physical Sciences Research Council (EPSRC) and the Leverhulme Trust, this PhD combines advanced nanofabrication, machine-learning-driven optical design, and close collaboration with University Hospital Southampton, Nanyang Technological University (NTU), Singapore, and the Massachusetts Institute of Technology (MIT).
Deadline : 30 Jun 2026
(28) PhD Degree – Fully Funded
PhD position summary/title: STAR-SHIELD: Secure tamper-resistant architectures for radiation-hardened space hardware with intelligent error-learning design
Future space systems face unprecedented threats from radiation-induced faults and malicious tampering. This project will develop and validate adaptive, radiation-tolerant hardware architectures that secure both functional integrity and cryptographic trust in spaceborne electronics.
Combining radiation modelling, Artificial Intelligence (AI)-driven fault tolerance, and next-generation semiconductors, such as Gallium Nitride (GaN) or Silicon Carbide (SiC)), this project pioneers integrated resilience strategies for low Size, Weight, and Power (SWaP) systems.
Deadline : 31 Mar 2026
(29) PhD Degree – Fully Funded
PhD position summary/title: AI-driven solar-laser hybrid sintering for lunar regolith metamaterials
This PhD project aims to decode the process–microstructure–property relationships in laser-sintered regolith and develop AI-assisted predictive models for their mechanical behaviour. Working with samples produced under controlled laser parameters, the student will characterise phase assemblage, glass formation, pore morphology, and micromechanical properties using advanced tools such as SEM/BSE, X-ray CT, nanoindentation, and micro-pillar compression. These results will form the foundation of a graph neural network (GNN) that learns how microstructural descriptors govern stiffness and strength, enabling predictive and interpretable design of regolith-based building materials.
Deadline : 30 Jun 2026
(30) PhD Degree – Fully Funded
PhD position summary/title: Targeting the IRES structure of mRNA for modulating gene translation
This project targets mRNA IRES structures of oncogenes using modified oligonucleotides to avoid broad translational inhibition. We will optimise ON modifications, transfection, and efficacy in organoids, focusing on lung and blood cancers. The goal is an adaptable, highly selective technology for precise regulation of multiple oncoproteins.
Deadline : 28 Feb 2026
(31) PhD Degree – Fully Funded
PhD position summary/title: Synthesis of oligonucleotides and conjugates for targeted inhaled delivery to the lung
This project develops targeted delivery of antisense oligonucleotides for lung diseases such as cancer, asthma, and COPD. Conjugates will target lung cell receptors, with optimised linkers for recognition, transfection, and endosomal release. Designed for lung deposition, the system will be tested in organoid models, enabling novel, animal-free therapies.
Deadline : 28 Feb 2026
About University of Southampton, England – Official Website
The University of Southampton (abbreviated as Soton in post-nominal letters) is a public research university in Southampton, England. Southampton is a founding member of the Russell Group of research-intensive universities in the United Kingdom, and ranked in the top 100 universities in the world.
The university has seven campuses. The main campus is located in the Highfield area of Southampton and is supplemented by four other campuses within the city: Avenue Campus housing the School of Humanities, the National Oceanography Centre housing courses in Ocean and Earth Sciences, Southampton General Hospital offering courses in Medicine and Health Sciences, and Boldrewood Campus housing an engineering and maritime technology campus and Lloyd’s Register. In addition, the university operates a School of Art based in nearby Winchester and an international branch in Malaysia offering courses in Engineering. Each campus is equipped with its own library facilities. The annual income of the institution for 2021–22 was £666.8 million of which £114 million was from research grants and contracts, with an expenditure of £733.7 million.
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