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: Aerodynamic interaction between next generation aircraft engines and wings
The primary goal of this PhD work is to understand the impact of the next generation of aircraft engines on the performance of the wing high-lift devices, i.e. the leading edge slat, trailing edge flaps and spoilers.
There are several candidates for the next generation of aircraft engines in order to reduce the environmental impact of air travel. One such candidate is an open rotor engine (e.g. the CFM International RISE programme). This engine is planned to support both hydrogen and sustainable aviation fuels. There is an aerodynamic and aeroacoustic impact of such an engine on the wing that is not currently fully understood due to the interaction with wake of the rotor. This is the topic that is investigated in this PhD using a combination of wind tunnel tests, numerical simulations and analytical methods.
Deadline : 31 Dec 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: Development of data-driven design optimization framework for expensive real world engineering problems
The University of Southampton boasts extensive High Performance Computing (HPC) and experimental facilities making this a unique opportunity to conduct high fidelity, multi-disciplinary research and collaborate with world-class researchers.
Mechanical design is non-intuitive. Even with years of experience, the non-intuitive behaviour of physical systems, due to our limited understanding of them, can mean the optimal geometry is surprising or even extreme (look up, for instance, the bulbous bow of a ship).
However, the expense of trying out novel designs is usually extremely prohibitive for real-world engineering problems restricting us to unadventurous design spaces. In addition, the geometric constraints and designer biases imposed by conventional methods can restrict the design process to a particular space and make non-intuitive designs impossible.
Deadline : 2 Oct 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: Development of a new generation health and usage monitoring system (HUMS) based on machine learning and digital twin technologies
It is particularly used for rotorcraft in aerospace but has also been introduced to offshore oil industry since the Chinook crash in the North Sea in 1986. Despite the high demand and successful applications, current HUMS technology focuses only on safety functions.
HUMS has the potential to significantly improve performance, operation, maintenance and cost-benefit efficiency for machinery and it is also being advanced into machine remaining useful life (RUL) prediction and condition-based maintenance (CBM), taking the advantage of fast development of artificial intelligence (AI) and machine learning (ML) algorithms and advanced modelling techniques.
This project aims to develop a new generation HUMS with gearbox digital twins, generalised ML models for bearing and gear fault detection and diagnosis, and robust models for their RUL prediction. Sensor data created from this project as well as databases in literature will be utilised in the model development.
Deadline : 30 Sep 2024
(04) PhD Degree – Fully Funded
PhD position summary/title: The association between hearing and cognition
The confounding effects of hearing loss with aging are partly responsible for that. Moreover, Tinnitus (ringing in the ear) is often presumed to impair cognition, largely due to the high association between hearing loss and tinnitus. In a recent study, we identified that tinnitus in age-related hearing loss is associated with better cognitive performance.
In the first part of this project, we aim to further assess the interaction of tinnitus with cognition in age-related hearing loss in a large population exploring potential factors that modify the association.
In the second part of the project, we will focus on a potential auditory electrophysiological biomarker of dementia (features extracted from the electroencephalogram [EEG] of the patients). The biomarker has been tested in a large diverse population.
In the current project, we aim to validate the utility of the biomarker in the target population of dementia and other clinically relevant populations such as those with Auditory Processing Disorders and Aphasia.
Deadline : 31 Oct 2024
(05) PhD Degree – Fully Funded
PhD position summary/title: Formal verification of AI interfaces
The field of computing is facing a conundrum caused by a clash in two opposing trends: on the one hand, the growth and proliferation of machine learning (ML) in software, and on the other hand, ever-growing concerns that, with ML models being a black-box technology, the safety, security and explainability of software that uses ML diminish.
To address these concerns, we need tools and languages that can serve as safe interfaces to ML components. Such safe ML interfaces will allow to specify the desired properties of ML models, train ML models to satisfy such properties, and verify that these desired properties do in fact hold in the final artifact. For example, one language that supports the safe ML interfaces approach is the Haskell DSL Vehicle [1]; and one iconic application for safe ML interfaces is in verifying autonomous car controllers [1].
Deadline : 31 Dec 2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: AI-enhanced fluid-structure modelling to aid maritime decarbonization
This project centres on innovative numerical schemes based on the lattice Boltzmann method (LBM). By going beyond the conventional Navier-Stokes framework, the LBM shows its strengths in adeptly managing complex boundary conditions and leverages the power of parallel computing. It provides a powerful platform for addressing the fluid-structure modelling challenges within this field. In addition, AI technology will play a crucial role as a supportive tool, contributing to more efficient and accurate turbulence modelling.
Deadline : 16 Dec 2024
(07) PhD Degree – Fully Funded
PhD position summary/title: Space-Time-Modulated metasurfaces for advanced wave engineering applications
These reconfigurable surfaces modulate their refractive index in time through the spatiotemporal variations of varactors, Josephson junctions, or transistors. We aim to investigate novel methods for dynamic wave control and manipulation, enabling transformative applications in wireless communications, quantum technologies, and beyond.
Join the University’s Smart Electronic Materials and Systems research group. Become part of a fully-funded PhD project that pushes the boundaries of electromagnetic metasurfaces for wave engineering and emphasises strong industrial collaborations and commercialisation potential.
We’re seeking an exceptional candidate to contribute to our groundbreaking project led by Dr. Taravati, who has extensive experience in electromagnetics, active and space-time-modulated metasurfaces and their applications to wireless communications, biomedicine, and quantum computing. He also successfully established a spinout company specialising in active metasurfaces for advanced wave processing in telecommunication systems.
Deadline : 31 Dec 2024
(08) PhD Degree – Fully Funded
PhD position summary/title: Skill acquisition in Lifelong Robot Learning with Large Language Models
This project aims to explore how Large Language Models (LLMs) can be harnessed to continuously acquire new skills to solve novel tasks as opposed to mastering a predefined and fixed set of tasks. In particular, methods for incrementally learning skill representations jointly from textual descriptions and spatio-temporal information of action sequences will be developed and evaluated on learning visuomotor robotic tasks in a household environment.
Deadline : 31 Dec 2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: Novel Phase Change Materials for integrated photonics
Enabling integrated and free space photonics with advanced reprogrammable materials.
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.
In addition, specific applications such as image recognition and lidar are more efficiently processed in the light domain. Integrated photonics have the inherent ability to support a much larger data density than electronic solutions. Advanced reprogrammable photonic materials enable neuromorphic based computation a key component to efficient artificial intelligence. Our 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 2025
(10) PhD Degree – Fully Funded
PhD position summary/title: Combining deep learning and computational thermodynamics modelling to design novel functionally graded multimaterial components
Metal powder-based additive manufacturing is an emerging 3D printing technology that provides great topological freedom, allowing for component shapes unattainable via wrought technologies. However, the majority of the metal 3D printing has been on alloys designed for wrought conditions, and recent years have seen the emergence of alloy design efforts tailored specifically to this manufacturing technology, where extreme cyclic cooling and heating rates are present.
An additional breakthrough in metal 3D printing can be achieved by combining powder metals of distinct properties, such as heat resistance with low density, or corrosion resistance with ultra-high strength. The number of combinations is seemingly infinite, this requires a multiple approach combining computational thermodynamics and deep learning.
Deadline : 15 Oct 2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: Molecular basis and ecological significance of Saccharomyces wine yeast interactions with microbes, plants and insects
This research involving Saccharomyces cerevisiae will train you with skills you can apply to other ‘yeast’ labs or biological systems.
Saccharomyces was the first sequenced eukaryote and comes with many indispensable tools for exploring genetic and subcellular mechanisms. This yeast is also used in the multi-billion-dollar fermentation industries and is found in nature.
Despite its importance, the significance of elements of yeast’s metabolism, its natural ecology and interactions with other microbes, plants and insects isn’t fully understood. For example, yeast produce volatiles that we find pleasing in fermented products such as wine, but this production probably evolved for another purpose, not our benefit.
Deadline : 8 Nov 2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: Geological storage of CO2 in the Wessex Basin – Impact of metric to decametric heterogeneities in the Mercia Mudstone and Sherwood Sandstone Groups
This project, open to UK and EU applicants only, focuses on a CO2 storage candidate within the Wessex Basin, UK.
Carbon dioxide (CO2) storage in geological formations is a key mitigation strategy to reduce global anthropogenic CO2 emissions. In the UK, the Solent Cluster initiative aims to decarbonize the South of the UK by capturing up to 10 million tonnes of CO2 per year and store them in geological formations located nationwide.
One promising offshore storage site is located within the Wessex Basin, along the southern coast of England. In this basin, the potential CO2 storage candidate is the Sherwood Sandstone Group and the potential seal is the Mercia Mudstone Group. Some existing studies focus on the identification and characterization of heterogeneities from analog outcrops comprising these units [e.g. 1], whereas others focus on the characterization of geomechanical and fluid flow properties in the laboratory [e.g. 2].
This project bridges across scales and types of observations to better understand and quantify the influence of lithological, sedimentological, and structural heterogeneities on the geomechanical and fluid flow properties and response of a CO2 storage candidate in the Wessex Basin, which is being investigated by the project partner ExxonMobil. To do this, this project will combine field and laboratory work complemented with simple analytical and numerical modelling [e.g. 3].
Deadline :30 Sep 2024
(13) PhD Degree – Fully Funded
PhD position summary/title: Large area 2D semiconductor platforms
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 2025
About c – 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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