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: Luminescent lanthanide complexes for upconversion and downconversion
We are searching for a highly motivated individual who is interested in a PhD in inorganic chemistry with Dr. Richard Knighton, starting in October 2024.
Upconversion (UC) and downconversion (DC) are of paramount importance for the advancement of new quantum themes such as sensors for medicine and quantum computing.
Research into the mechanism of UC and DC is relatively limited due to the media in which they operate – primarily solid-state or lanthanide nanoparticle materials.
This project will investigate the properties of a novel class of heteropolymetallic lanthanide complexes for upconversion, permitting a deeper understanding of the mechanism of photon upconversion.
Deadline : 31 Aug 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: A compact quantum inertial sensor using atom interferometry
Quantum inertial sensors, based upon atom interferometry, promise advantages in bias and scale factor stability, but have so far required large, delicate equipment that is difficult to test outside the laboratory.
The sensor head’s vacuum and optical components in particular have so far been fragile and bulky, with developments mainly limited to scaling down conventional parts with no reduction in component count.
In this project, you’ll assemble a quantum inertial sensor aimed at navigation applications. The sensor head will use a new, compact and robust vacuum system to achieve a small, simple and mechanically stable design, with laser and optical systems from an existing atom interferometry system.
Deadline : 31 Aug 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: Analysis and mitigation of railway noise, vibration, wheel or rail roughness
The aim of the project is to investigate and develop a comprehensive understanding of the mechanisms behind railway noise, vibration and wheel or rail roughness. This includes studying the causes and effects of wheel or rail roughness, understanding the development of surface roughness over time and establishing models for predicting and mitigating the noise.
An exciting PhD opportunity is available at the Institute of Sound and Vibration Research, University of Southampton focusing on the noise and vibration of railways.
Railways are extensively utilized worldwide as an efficient, environmentally friendly and sustainable mode of transport. However, significant challenges remain in terms of their noise and vibration, which can affect both passenger comfort and the quality of life for communities near railway lines. The wheel or rail interface, characterized by the surface roughness, plays a crucial role in these phenomena.
Deadline : 31 Aug 2024
(04) PhD Degree – Fully Funded
PhD position summary/title: Investigating the impact of beaver on fish communities in Southern England
This project will address current gaps in knowledge by considering the impact of beaver landscape modification on:
- physical and chemical characteristics of lowland English rivers,
- hydrological regimes in rivers in which abstraction takes place,
- diversity of thermal habitat at fine-resolution scales,
- community composition, abundance and movement of multiple species of fish at beaver dams,
- implications of ecosystems response to future fisheries management.
Deadline : 31 Aug 2024
(05) PhD Degree – Fully Funded
PhD position summary/title: Novel microbes for novel solutions: Bioprospecting for properties with uses in many sectors
Microbes can be detrimental to humans, animals or plants or have a diverse set of benefits in food, medicine, agriculture and manufacturing. But only a fraction of microbes on the planet have been identified let alone characterised. This project tackles this gap seeking to finding new species, activities, and applications.
Bioprospecting involves the screening of collections of microbes to identify useful traits. Often, to increase diversity, such collections are first expanded through field isolations targeting relevant sites. When looking for microbes destined for sugar fermentations, we would seek niches with high sugar content e.g., fruits, insects, nectar. The exploratory nature of this approach makes it likely that we will yield discoveries of new activities if not entirely new species, as well as adding to the long list of benefits we gain from microbes.
Deadline : 30 Aug 2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: Roles of the genetic ‘dark matter’ in environmental and antimicrobial resistance of bacteria
Bacteria have been (in)famous for their remarkable ability to handle sudden, often unfavorable environmental changes, and to successfully occupy new habitats. This project will investigate genetic elements that control cellular processes enabling bacteria to withstand ever-changing conditions. These include temperature fluctuations and antibiotic exposure, by utilizing bacteriology, single-cell and computational approaches.
Deadline : 29 Aug 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 Aug 2024
(08) PhD Degree – Fully Funded
PhD position summary/title: Molecular simulation approaches to scaffold-hopping
Free energy calculations using molecular dynamics are widely used in the pharmaceutical industry to predict drug binding affinities. Scaffold hopping presents distinct challenges however. The very large number of possible alternate scaffolds means that the method used must be very efficient, while the potentially large chemical change creates problems with method accuracy. In this project you will address these problems.
The search for drug molecules is risky and expensive. Having identified a high quality and tractable chemical starting point (a hit), further optimisation takes place by modifying the functional groups attached to a central, rigid-ring scaffold. This central scaffold is seldom changed, as optimising new chemistry without a clear view on whether the molecule is effective, is time consuming and expensive. Reliable in-silico predictions of binding affinity for new scaffolds (without wet-lab work) would be a game-changing tool.
Deadline : 31 Aug 2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: High-speed intake aerodynamics (UK, USA and Australian applicants only)
A current research project is preparing the code set for the next generation of exascale computing, including development of tools for analysis of large data sets. The methods used for the research will be direct numerical simulation, using multi-block structured grids, and modal analysis based on simulation databases.
You will join a group of PhD students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics, relevant to next generation supersonic and hypersonic flight vehicles.
Intakes for high-speed vehicles are required to slow down the oncoming flow with minimal losses. The resulting designs include oblique shock waves that interact with wall boundary layers. The subsequent shock-wave boundary-layer interactions result in flow separation that can lead to extreme unsteadiness and unstart of the intake. Numerical simulations allow access to time- and space-resolved information that is difficult to obtain with laboratory experiments.
Deadline : 31 Aug 2024
(10) PhD Degree – Fully Funded
PhD position summary/title: High-resolution multi-physics topology optimisation
In this project we aim to develop a technology enabling high-fidelity, high-resolution, robust 3D topology optimisation for multi-physics problems including thermos-fluid and fluid-structure interaction.
Topology optimisation is one of the most powerful engineering design technologies. It is superior to shape and size optimisation as it can theoretically create an optimum object from scratch. There is an ever-growing interest in using topology optimisation in industries for different design problems.
You will join a leading Engineering Faculty with an excellent record of collaborative research with industry and academic institutions in the UK and abroad.
Deadline : 31 Aug 2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: Bioinspired total synthesis of complex natural products
The School of Chemistry is offering a fully funded PhD studentship to a highly motivated candidate to start in September 2024. This research project aims to develop new ways of constructing 3-dimensionally complex natural products using strategies inspired by their biosynthesis.
The use of natural products as antibiotics and anticancer agents has revolutionised human healthcare. However, many natural products are highly complex molecules isolated in minute amounts from their natural source. The total synthesis of these molecules is therefore crucial to allow their future application in medicine.
We will target the synthesis of natural products of mixed biosynthetic pathways in which the dearomatization of aromatic rings converts simple, flat structures into stereochemically complex molecules.
Deadline : 31 Aug 2024
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(12) 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.
The integration of LLMs into robot learning has recently demonstrated remarkable success. It became possible to ground LLMs in the physical context and solve long-horizon robotic tasks efficiently by querying LLMs to generate a sequence of natural language commands corresponding to pretrained skills that accomplish a given task. LLMs have also enabled few-shot adaptation to novel tools by generating task-agnostic tool descriptions for language-conditioned learning of manipulation skills.
Deadline : 31 Aug 2024
(13) PhD Degree – Fully Funded
PhD position summary/title: Smart acoustic control technologies
Are you looking for an exciting opportunity to work at the forefront of engineering research with a focus on sound and vibration? Would you like to develop your skills as a researcher and kick-start a career in engineering innovation?
We are offering a fully funded PhD position, with enhanced financial support from a large industrial partner, to pursue doctoral research in Smart Acoustic Control Technologies as part of a large project funded by the Royal Academy of Engineering.
Deadline : 31 Aug 2024
(14) PhD Degree – Fully Funded
PhD position summary/title: A machine learning enhanced digital twin toward sustainable pharmaceutical tablet manufacturing
This project aims to improve the making of pharmaceutical tablets by using advanced machine learning (ML), life cycle analysis (LCA), and process digital twins (PDTs). The goal is to make the production process more efficient, cost-effective, and environmentally friendly.
The reduction of emission from pharmaceutical tablet manufacturing is urgent and challenging. Rapid identification and quantification of emission sources is an important milestone to set reduction targets and implement corresponding reduction measures. Reliable and accurate in-silico predictions to identify sustainable process opportunities including resource efficiency, pollution prevention, renewable energy and green chemistry would be a game-changing tool.
PDTs are powerful tools for improving tablet manufacturing processes by providing a virtual platform for simulation, monitoring, optimization, and decision support. However, PDTs typically focus on optimizing technical aspects of processes, such as energy efficiency, production rates, and product quality. While they cannot fully capture broader sustainability and socio-economic factors.
Deadline : 31 Aug 2024
(15) PhD Degree – Fully Funded
PhD position summary/title: Novel Phase Change Materials for integrated photonics
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.
We work to create a reprogrammable photonic platform for a variety of applications from telecommunications to neuromorphic biosensing.
If you enjoy developing new technologies and applying novel concepts, you will enjoy working with us. Our facilities are unique in the UK and will be available to develop your skills in the design, characterisation, optimization, and experimental application of novel materials and devices.
Deadline : 31 Aug 2024
(16) PhD Degree – Fully Funded
PhD position summary/title: Rapid development and testing of multifunctional antimicrobial coatings to combat urological device infections
Urological devices (stents and catheters) are deployed as temporary measures to restore urinary drainage in patients with kidney stones, tumours or strictures. In this PhD project, we aim to develop novel coatings to resist encrustation and biofilm formation on stents, and extend our test platform to include in vitro biological testing of microbial cell-device interactions for rapid pre-clinical testing of coating efficacy.
Device-associated encrustation-and-biofilm-formation (E&B) are key complications, leading to urinary tract infections (UTIs) in >90% of stents, causing stent blockage, reliance on antibiotics and contributing to antibiotic resistance.
In 2016, NIHR reported that >92m people globally are diagnosed with UTIs every year, compromising quality of life and imposing a £2.5b annual burden on the NHS. Over the past decades, researchers have tried to introduce materials (e.g. metallic alloys, polymers, biodegradables), coatings (e.g. heparin, chitosan, hydrogel, carbon) and shapes (e.g. double-J, loop, mesh, string, expandable) to improve stents and catheters. Despite advances, there is still a prevalence of E&B and UTIs.
Deadline : 31 Aug 2024
(17) PhD Degree – Fully Funded
PhD position summary/title: Guardians of the Green: enhancing forest defence with autonomous technologies
We aim to develop a low-cost decentralized intelligent automation technology, using a swarm of robots to automate the monitoring of our forests, allowing for a novel data stream of measurements at high spatial and temporal resolutions.
The developed swarm technology will address the problems of stealthily navigating challenging forest terrain, robustly coordinating the robots of the swarm across large distances in the forest and automating under canopy observations of forest parameters.
This will enable us to provide stakeholders with a cohesive spatiotemporal shadow of our forest which can be used to simulate different scenarios.
This research area poses a number of challenges, particularly navigation in vegetated terrain, decentralized swarm coordination, data assimilation, and environment modelling. As such, the PhD project will be tailored to the skills and interests of the selected candidate.
Deadline : 31 Aug 2024
(18) PhD Degree – Fully Funded
PhD position summary/title: Realising the potential of additive manufacturing in critical parts: certifying impossible geometries
Successful execution of the work will contribute to the wider realisation of AM in advanced engineering, and the development of new X-ray inspection methods. Additive manufacturing presents remarkable opportunities in engineering design. For parts to “fly” however, reliable non-destructive test methods are absolutely mandatory for certification. The exceptional flexibility of AM presents intrinsic problems in this context, as the complex, integrated designs that make best use of AM largely prohibit conventional inspection.
Deadline : 31 Aug 2024
(19) PhD Degree – Fully Funded
PhD position summary/title: Hollow core optical fibres embedded with 2D materials
In this PhD studentship, the candidate will further develop this novel composite material ARF (CM-ARF) technology, spanning the multidisciplinary remit between cleanroom based, 2D materials fibre integration technology for the highly innovative CM-ARF platform, with applications in active photon management and light processing functions.
Hollow core optical fibre waveguide geometries are becoming increasingly relevant to modern telecommunications systems, an exemplar of which is the anti-resonant fibre (ARF) structure, which can guide light in the air core using a variety of cladding architectures. Intriguingly, the high internal surface area presented by this waveguide geometry offers an ideal material deposition template for strong light-matter interaction and to this end, we have developed world leading knowledge and expertise in deposition technologies that allow a wide variety of functional materials such as semiconductors and metals to be embedded within these air-silica structures.
Deadline : 31 Aug 2024
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(20) PhD Degree – Fully Funded
PhD position summary/title: Bioaugmentation in water/wastewater treatment to enhance the removal of micropollutants
In this project, you will investigate the key microorganisms enabling the breakdown of toxic and recalcitrant organic compounds and develop an effective bioaugmentation approach to manipulate the microbial community to enhance the biological removal of micropollutants.
Emerging micropollutants, encompassing a spectrum from pharmaceutical residues and personal care products to industrial chemicals, have been found in water sources worldwide. Their health effects and environmental impact are evident. As these pollutants persist and accumulate, addressing the multifaceted challenges they present has become imperative to safeguard both human well-being and the integrity of our natural environment.
Currently, no water or wastewater treatment plants are designed to target micropollutants, resulting in the presence of persistent micropollutants in water bodies. For example, the identification of per- and polyfluoroalkyl substances (PFAS) in breast milk and blood is a matter of considerable concern due to its profound implications for public health. Therefore, removing micropollutants from water is imperative along with the expected more stringent regulations on micropollutants.
Deadline : 31 Aug 2024
(21) PhD Degree – Fully Funded
PhD position summary/title: Nonlinear aerostructural optimisation of boundary layer ingesting fan
In this project, we will extend our high-fidelity multidisciplinary design optimisation (MDO) framework for the design of Boundary Layer Ingestion (BLI) fans. The proposed MDO is based on adjoint aero structural optimisation, augmented with machine learning, considering complex aero structural behaviour affected by BLI-distorted aero loads.
To meet the objectives of the Paris Climate Agreement, aviation (~3% of human global CO2 emissions) must do its share. The target for air transportation is a 75% reduction in CO2 and a 90% reduction in NOx by 2050. The European Green Deal even aims to achieve climate neutrality by 2050.
To achieve such goals, the path forward is minimising aircraft weight and drag and moving towards emissions-free energy sources, storage and conversion systems.
Deadline : 31 Aug 2024
(22) PhD Degree – Fully Funded
PhD position summary/title: Topological metamaterials for optical wave control
This project will explore novel topological transport based on metamaterial or nanostructure design, aiming to deliver recipes for building topological optical devices.
Topological photonics is a rising field of research that implements topological ideas with optical materials. Such topological materials support unidirectional or defect-immune electromagnetic wave propagation, which is favoured by future photonic technologies.
Deadline : 31 Aug 2024
(23) PhD Degree – Fully Funded
PhD position summary/title: Quantum coding assisted Quantum Key Distribution
The University is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.
Quantum Key Distribution (QKD) is one of the cornerstones in ultimately secure communication, leveraging the principles of quantum mechanics to establish cryptographic keys immune to eavesdropping.
While QKD itself offers unparalleled security guarantees, the integration of diverse error correction coding techniques holds promise for further enhancing the robustness and efficiency of key distribution protocols. More specifically, error correction codes could be designed to mitigate challenges such as quantum noise and decoherence, for ensuring the fidelity and integrity of transmitted quantum information.
Deadline : 31 Aug 2024
(24) PhD Degree – Fully Funded
PhD position summary/title: Quantum Secure Direct Communications
In this PHD project we aim to provide insights into the potential large-scale deployment of Quantum Secure Direct Communication technology in real-life scenarios.
Following a comprehensive review of the fundamental principles of Quantum Secure Direct Communication (QSDC), free-space QSDC will be investigated. Channel coding will be harnessed to enhance the reliability of the QSDC communication link.
The University of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.
Quantum Secure Direct Communication represents a unique paradigm in secure information transmission, harnessing quantum states to ensure confidentiality and reliability in the face of a noisy, lossy, and wiretapped quantum channel.
Deadline : 31 Aug 2024
(25) PhD Degree – Fully Funded
PhD position summary/title: Developing the next generation of ground anchors for floating offshore wind turbines – TAILWIND
Are you interested in the development of offshore wind energy and have a passion for geotechnical engineering? This PhD position is for you. This project is a unique opportunity to contribute to the advancement of sustainable energy infrastructure while deepening your expertise in geotechnical engineering.
Deadline : 31 Aug 2024
(26) PhD Degree – Fully Funded
PhD position summary/title: Using machine learning to evaluate atomic force microscopy nanoindentation data
The University is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer biopsies.
In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.
We have developed a new method based on atomic force microscopy (AFM), named indentation-type atomic force microscopy (IT-AFM), suitable for diagnostics of osteoarthritis, cancer, and atherosclerosis. The method represents a breakthrough in diagnostics and therapy, and allows for the diagnosis of structural and functional changes in tissue-related conditions, at the nanometre scale.
Deadline : 31 Aug 2024
(27) PhD Degree – Fully Funded
PhD position summary/title: Tackling the geotechnical challenges of floating offshore wind
Your PhD will be framed around the following topics.
- Optimising farm-scale site characterisation: Evaluate the best approach for farm-scale geotechnical characterisation, which makes best use of existing and new site investigation tools.
- Farm-scale geotechnical design strategies: Devise new design approaches that adopt reliability-based methods to suit farms with hundreds of turbines and account for variability in loading and soil conditions.
- Anchoring systems for floating offshore wind: Develop novel anchor concepts, suited to the seabed conditions in ORE frontier regions.
Deadline : 31 Aug 2024
(28) PhD Degree – Fully Funded
PhD position summary/title: Space trajectory classification using Machine Learning
In this project you will apply Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps:
- develop tools to efficiently generate a large database of relevant trajectories using state-of-the-art GPU technology for astrodynamics systems of interest;
- study different representations of the obtained trajectories, such as coordinates, orbital elements, or spectral decompositions, to identify which method best represents the relevant information for subsequent trajectory classification steps;
- investigate and apply suitable Machine Learning algorithms for unsupervised classification of similar trajectories and automatic extraction of their relevant features;
- compare the boundaries between obtained orbit classes to other dynamical structures in the literature such as Invariant Manifolds, Weak Stability Boundary, or Lagrangian Coherent Structures.
Deadline : 31 Aug 2024
(29) PhD Degree – Fully Funded
PhD position summary/title: Generative Deep Learning for robot hearing
ActivATOR will bring together a highly interdisciplinary team of researchers, industry partners, and external academic collaborators. Building on our network of collaborators, this PhD project will be supervised by the University’s Dr Christine Evers and Professor Daniel Clark and National Oceanography Centre’s Dr Mohammad Belal.
As part of your PhD project, you will:
- conduct fundamental, underpinning research in the area of generative deep learning
- publish your findings at top-tier venues
- collaborate with external academic partners to broaden the scope of your research
- liaise with our industry partners to ensure commercial impact of your research
- participate in engagement activities with the public, policy makers and key stakeholders to ensure societal benefit of your research.
Deadline : 31 Aug 2024
(30) PhD Degree – Fully Funded
PhD position summary/title: Privacy attacks and defenses in Federated Learning systems
In the wake of growing data privacy concerns and the enactment of the GDPR, Federated Learning (FL) has emerged as a leading privacy-preserving technology in Machine Learning.
Despite its advancements, FL systems are not immune to privacy breaches due to the inherent memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital.
This project aims to dive into the dynamics of attack methodologies (e.g., Membership Inference, Property Inference) and defensive mechanisms (e.g., Differential Privacy, Machine Unlearning) within FL environments, highlighting potential cross-disciplinary synergies. The outcomes will enhance the security, dependability and trustworthiness of AI applications.
Deadline : 31 Aug 2024
(31) PhD Degree – Fully Funded
PhD position summary/title: Numerical models for a new combustion era
The first step to investigate this is to create a tool for the high-fidelity numerical simulation of such phenomena. The Wavelet Adaptive Multiresolution Representation (WAMR) method, developed by the project’s lead supervisor, uses the wavelet representation to generate a dynamically adaptive 3D grid that efficiently captures with desired accuracy a wide range of spatial scales using a relatively small number of degrees of freedom.
The project aims to:
- further develop WAMR to be efficiently used for massive numerical simulations (both DNS and LES) on High-performance computing (Tier-1) facilities
- investigate IFIs-turbulence interaction in the unique database realized with WAMR.
Deadline : 31 Aug 2024
(32) PhD Degree – Fully Funded
PhD position summary/title: Combining deep learning and computational thermodynamics modelling to design novel functionally graded multimaterial components
This PhD project will lead to the conception of functionally graded advanced components, combining properties that are considered unattainable.
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 : 31 Aug 2024
(33) PhD Degree – Fully Funded
PhD position summary/title: Investigating the influence of structural openings on blast wave propagation and human injury risk
In this PhD research project, you will investigate the influence of structural openings on blast wave propagation and internal loading effects through an experimental and advanced numerical programme.
You will be responsible for designing and conducting series of reduced-scale blast experiments to be undertaken at specialist explosive testing facilities based at the University of Cape Town. Professor Steeve Chung Kim Yuen from the University of Cape Town will be your additional supervisor.
You will also have the opportunity to work as part of a multidisciplinary research network (The IBRN) focused on a range of blast engineering and injury research challenges, engage with industry partners and undertake an exciting programme of experimental work overseas.
Explosions remain a serious threat to buildings and their occupants due to the occurrence of terrorist attacks, armed conflicts and large-scale accidents, such as the 2020 Beirut explosion. Such events have highlighted a key knowledge gap: we do not yet understand the effects of blast waves propagating in complex urban environments. As a result, it remains challenging to predict blast loading in built-up areas, which reduces our ability to predict structural damage and the risk of injury. Specifically, it is not understood how blast wave propagation is influenced by structural openings (i.e. windows and doors) and the loading experienced within internal spaces. New knowledge and predictive methods are needed to inform risk assessments, identify structural protection requirements and develop blast injury mitigation strategies.
Deadline : 31 Aug 2024
(34) PhD Degree – Fully Funded
PhD position summary/title: Novel applications of remote sensing for health
In these areas there are many challenges to be addressed, such as privacy-aware diagnostics and their deployment within realistic environments such as home settings. In these environments, accuracy is greatly affected by issues such as varying lighting conditions, multiple users, diverse pigmentation levels, and the presence of facial hair or makeup.
Advances in overcoming these challenges are expected to mark a substantial difference on home-based health management. Whether you are passionate about these specific interdisciplinary research challenges or have your own exciting ideas within this space, we would like to hear from you!
Deadline : 31 Aug 2024
(35) PhD Degree – Fully Funded
PhD position summary/title: Swim like a whale: underwater propulsion at high Reynolds numbers
The implementation of such bioinspired considerations in the design of water-borne vessels like ships and autonomous underwater vehicles or unconventional offshore energy extraction designs like oscillatory foil turbines requires us to understand the operation envelopes in moderate to high Reynolds number flow regimes.
The experimental work in this area commonly strives to deduce scaling laws, while computational efforts focus on developing and validating predictive flow models. Unfortunately, the scarcity of experimental data at high Reynolds numbers significantly hampers these design approaches.
This exciting experimental project aims to bridge this gap and characterize the performance metrics and the flow over hydrofoils in canonical oscillatory motions at high Reynolds numbers. Our goal is to combine unique data sets acquired from measurements conducted both in the Boldrewood Towing Tank and the Recirculating Water Tunnel facilities. The work requires detailed flow diagnostics and the use of direct force/pressure measurement techniques.
Applicants should have a strong background in fluid mechanics, aero-/hydrodynamics. A demonstrable aptitude for practical laboratory work is essential. Fundamental knowledge of mechatronics/control is required, and prior experience with actuation mechanisms is desired. Applications are invited from candidates who possess (or expect to gain) a first-class honours MEng, or MSc (or international equivalent) in engineering, physics or a related discipline.
Deadline : 31 Aug 2024
(36) PhD Degree – Fully Funded
PhD position summary/title: Mimicking quantum phenomena on a silicon metasurface for automotive LiDAR
This PhD project intends to develop a novel automotive LiDAR (light detection and ranging) sensor, by using optical nanostructures to mimic the quantum phenomenon of “bound states in the continuum”. It aims to enhance driving safety and efficiency, contributing to the advancement of fully autonomous driving.
The University of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.
The project originates from the observation that, although numerous exotic phenomena have been predicted by quantum theories, many of them prove prohibitively difficult to create and control.
To still benefit from these theoretical predictions, this project takes the unique approach of emulating quantum phenomena in the classical realm. For instance, we recently succeeded in creating over 240 sharp resonances on a single silicon wafer, a record value achieved by mimicking the quantum “bound states in the continuum” [Advanced Optical Materials 11, 2301979 (2023)].
Deadline : 31 Aug 2024
(37) PhD Degree – Fully Funded
PhD position summary/title: Space-Time-varying superconducting surfaces for enhanced efficiency quantum computing and quantum wave processing applications
This groundbreaking research project is dedicated to advancing the field of wave engineering and transformation within superconducting quantum computers and quantum processors. The focal point of our investigation lies in the exploration of space-time-varying superconducting metasurfaces, aiming to push the boundaries of next-generation quantum computing.
The University of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.
Our interdisciplinary approach combines analytical investigations, numerical simulations utilizing Matlab (FDTD code) and Comsol Multiphysics, and rigorous experimental verification.
The primary goal of our research is to revolutionize the quantum computing landscape by addressing key challenges, including the enhancement of coupling between qubits, error correction, and scalability.
Deadline : 31 Aug 2024
(38) PhD Degree – Fully Funded
PhD position summary/title: Investigation of green bipropellant chemical propulsion systems
The key aim of this PhD is to investigate ionic liquid-based fuel and oxidiser propellants in a green bipropellant rocket engine. This will involve theoretical analysis and simulation of the complex combustion chemistry that will occur in such a thruster, and the experimental design and testing of such a large bipropellant rocket.
For the past 50 years the dominant rockets used in space have been hydrazine based chemical thrusters. They are robust and offer good performance. However, their performance comes with a large disadvantage as hydrazine is extremely toxic and carcinogenic, complicating greatly their handling. This adds significantly to full system costs.
Over the last decade various ‘green’ (i.e. less toxic) propellants have been developed as new alternatives to hydrazine for monopropellant thrusters (where the propellant decomposes producing heat). This has focused on the development of ionic salt-based monopropellants, in particular AFM315E, and LMP-103s. These both consist of an ionic salt that is mixed with various other constituents to produce an energetic room temperature liquid mixture. These new ‘green’ propellants are revolutionising satellite and launch vehicle propulsion, offering a safer to handle alternative that has comparative performance to hydrazine.
Deadline : 31 Aug 2024
(39) PhD Degree – Fully Funded
PhD position summary/title: Quantum control with quantum fields
In this PhD project, you will build on this mathematical framework to develop practical mathematical and/or computational techniques for analysing the effects of field quantisation on quantum control. This work will have applications in superconducting circuit QED, the basis of many leading quantum technology platforms including IBM’s cloud-accessible quantum processors.
The University of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.
Controlling and manipulating quantum systems using electromagnetic fields underpins many cutting-edge quantum technologies. Typically, these fields are assumed to be classical.
Recent work in the Quantum Optics Theory group at Southampton [Phys. Rev. Lett. 129, 183603 (2022)] has proposed a new mathematical description of the quantum-to-semiclassical transition in the interaction of light with matter, challenging the assumption that fields containing many photons can always be treated classically.
Deadline : 31 Aug 2024
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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