Are you holding Master’s degree and looking for fully funded PhD positions? University of Liverpool, England 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 Maritime autonomy for safe, fuel efficient port operations
Summary of PhD Program:
The project aims to establish robust functional allocation for effective human-machine operation of autonomous vessels. The advantage of a human-agent partnership is that each element has its own strengths and weaknesses, and together they have the potential of being more effective than the sum of their parts. Whilst there is good understanding of the Allocation of Function, there is little guidance on communication and designing for shared mental models. Trust in autonomy is also immerging as a challenge for Human-AI implementation; factors associated with trust can be categorized as human influences (e.g., individual differences in terms of personality, experience), machine influences (e.g., robotic platform, levels of automation, failure rates, false alarms), and environmental influences (e.g. task type, operational environment, shared mental models).
Application Deadline: 30 April 2024
2. Fully Funded PhD Position in High power laser development
Summary of PhD Program:
The project will focus on creating high-energy, high-repetition-rate lasers. It will involve the student working with optical fibre lasers operating at 1mm and combining the output of these systems using polarisation combination to create one output beam. The project aims to harness the major advantages of chirped pulsed amplifier Yb fibre lasers over other solid-state systems by using combination technologies to increase the low (nJ – mJ) energy output into J level pulses at kHz repetition rates. This performance is unobtainable with current systems and the project involves working at the forefront of laser technology to drive innovative development and performance.
Application Deadline: 31 May 2024
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3. Fully Funded PhD Position in Exploring tyrosine metabolism as a source of oxidative stress
Summary of PhD Program:
We are seeking a motivated researcher to work on a pioneering project investigating the role of oxidative stress associated with tyrosine metabolism. Our cells are constantly exposed to stress in various forms. A major group of stressors is those that induce oxidative damage to cells and their constituents, including UV radiation from sunlight and environmental pollutants. The project will explore the novel idea that that molecules associated with the amino acid tyrosine are previously unrecognised sources of oxidative stress.
Application Deadline: 1 March 2025
4. Fully Funded PhD Position in Explaining structure-property relations in the materials space
Summary of PhD Program:
This project aims to explain important materials properties from geometric invariants of crystal structures. Crystalline materials can be represented by invariants that distinguished different phases and polymorphs of all periodic materials in the Cambridge Structural Database and all known homometric structures with identical diffraction. These structural invariants [1] are provably invertible to a full 3-dimensional structure for all generic crystals and implemented by our industry partner Cambridge Crystallographic Data Centre.
Application Deadline: 30 June 2024
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5. Fully Funded PhD Position in Experimental discovery of new Inorganic Materials for Net Zero Technologies
Summary of PhD Program:
This PhD project will tackle the synthesis in the laboratory of inorganic materials with unique structures that will expand our understanding of how atoms can be arranged in solids. The selection of experimental targets will be informed by artificial intelligence and computational assessment of candidates, working with a multidisciplinary team of researchers to maximise the rate of materials discovery. The resulting materials will be experimentally studied to assess their suitability in a wide range of applications, combining our broad materials characterisation expertise with that of our international industrial and academic collaborators. The student will thus both develop a strong materials synthesis, structural characterisation and measurement skillset, and the ability to work with colleagues across disciplines in a research team using state-of-the-art materials design methodology.
Application Deadline: 31 July 2024
6. Fully Funded PhD Position in Endosymbionts as an overlooked threat for insect reintroductions
Summary of PhD Program:
Species reintroduction – or augmentation – into restored habitat will be increasingly used to combat biodiversity loss in a rapidly changing world, and used for a wider range of taxa, including invertebrates. Key tenets of this biodiversity restoration approach are to use source populations that are ecologically compatible with the target site, and to maximise genetic diversity. However, it is unusual to consider potential incompatibilities between different lineages arising from the effects of endosymbionts, which are common and may significantly impact conservation objectives.
Application Deadline: 15 April 2024
7. Fully Funded PhD Position in Electrochemically switchable materials down to the single molecule level
Summary of PhD Program:
This project will study the electrochemical properties of materials down to the single molecule level and it will investigate how electrochemical (redox state) switching of the molecules can change useful materials properties. This studentship is part of £7.1 million EPSRC-funded Programme grant “Quantum engineering of energy-efficient molecular materials (QMol)”, which involves the Universities of Lancaster, Liverpool, Oxford and Imperial College, and the group of Professor Richard Nichols at the Department of Chemistry, The University of Liverpool. This PhD project at Liverpool University (Department of Chemistry) will focus on electrochemistry for molecular/organic electronics and thermoelectrics and will include the measurement of the electrochemical and electrical properties of molecular materials from single molecules to self-assembled monolayers and bulk multilayer structures.
Application Deadline: 1 August 2024
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8. Fully Funded PhD Position in Discovery of Functional Inorganic Materials for Net Zero Applications using High-Throughput Synthesis
Summary of PhD Program:
The project will involve the preparation of precursor slurries and solutions for dispensing and mixing on robotic platforms before reacting at high temperatures for characterisation on high-throughput powder X-ray diffractometers and other analytical techniques. The project will involve close collaboration with computational chemists to suggest compositional spaces to explore, to predict new structures and aid in the understanding of the properties of the new materials discovered in the arrays using tools developed in the multi-disciplinary EPSRC Programme Grant: “Digital Navigation of Chemical Space for Function” and the Leverhulme Research Centre for Functional Materials Design, that seek to develop a new approach to materials design and discovery, exploiting machine learning and symbolic artificial intelligence, demonstrated by the realisation of new functional inorganic materials.
Application Deadline: 31 December 2024
9. Fully Funded PhD Position in Digital Routes to Next Generation Solid Oxide Electrolysis Cells
Summary of PhD Program:
This project will develop an automated computational workflow for the discovery of new electrolyte and electrode materials for solid oxide cells. The workflow will combine crystal structure prediction for composition stability determination and computational modelling of key properties including oxide conductivity and mechanical stability. This physical modelling will be supported by machine learning from databases already available to the project team and from the arising modelling data, extending to the use of large language models. Machine learning techniques such as supervised learning and semi-supervised learning will potentially be employed to learn complex representations from both labelled and unlabelled data and to predict material properties.
Application Deadline: 30 June 2024
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10. Fully Funded PhD Position in Digital Exploration of Novel Polymeric Materials for Structural Composites
Summary of PhD Program:
Structural composites materials are used in a vast number of applications from aerospace to sport and recreation. Their polymeric constituent is in the majority of cases made by materials formed by epoxy-aromatic amine chemistry while there are many alternative chemistries, which are, in principle, capable of similar or better performances and can be more sustainable. The chemical space to explore is so vast and the current technologies so well developed that it is impossible to find viable alternatives in reasonable time with conventional methods. The goal of this project is to develop digital tools comprising AI methods, cheminformatics, high-throughput virtual screening, to explore the potential of novel polymeric materials in these applications. The project will give the opportunity of interacting with our industrial partner, a multinational research-intensive organization, and be involved in the experimental testing of the predictions.
Application Deadline: 30 June 2024
11. Fully Funded PhD Position in Digital discovery of new photocatalysts for photoredox catalysis
Summary of PhD Program:
Photoredox catalysis has come to the forefront in organic synthesis as a powerful strategy for the activation of small molecules [1]. Photocatalysts convert visible light into chemical energy by engaging in single-electron transfer with organic substrates, thereby generating reactive intermediates for bond forming reactions under mild conditions. The design and discovery of efficient organic photocatalysts is a major challenge and has drawn significant interest in recent years. In this project, the student will use a high-throughput virtual screening approach developed by the Troisi group [2] to search chemical databases to identify new potential organic photocatalysts with similar optoelectronic properties to existing state-of-the-art photocatalysts.
Application Deadline: 30 June 2024
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12. Fully Funded PhD Position in Development of novel therapies for Hirschsprung’s Disease
Summary of PhD Program:
As a PhD student, you’ll be part of a groundbreaking project aiming to revolutionise the treatment landscape for Hirschsprung’s Disease (HSCR). HSCR affects around 170 infants annually in the UK, and is caused by aganglionosis of the bowel due to the abnormal development of the enteric nervous system (ENS). The conventional treatment involves surgical intervention, but can result in long-term complications, impacting the quality of life for affected children. This research focuses on understanding the developmental mechanisms underlying HSCR and exploring non-surgical alternatives by leveraging neurospheres derived from aganglionic and ganglionic bowel tissue of children undergoing surgery to treat this condition. This is an exciting opportunity to be involved in a translational regenerative medicine project for a condition that has a significant impact on the lives of the children who are affected by it.
Application Deadline: 26 April 2024
13. Fully Funded PhD Position in Developing industrial AI support tools for processing legal cases in medical negligence
Summary of PhD Program:
Two PhD positions are available within a project that is co-created between the University of Liverpool and Fletchers Solicitors, a Law firm specialising in clinical negligence and personal injury law. As one of the UK’s largest firms in the sector, Fletchers have vast experience from handling legal cases over many years. Each one of their cases is made up of thousands of (unstructured) files – primarily word documents, PDFs and emails. As a result, interpreting their historical caseload and extracting new insight is incredibly challenging, which means that despite their vast experience as a firm, their lawyers often only have their past cases and understanding of the law to guide their decision making and work. Additionally, they spend a lot of time reading or reviewing files, writing drafts, or extracting key information from large bodies of text – as a ‘no win, no fee’ business, spending time only in the ‘right’ places is key to their success.
Application Deadline: 30 June 2024
14. Fully Funded PhD Position in Deploying safer robot chemists in real laboratory environments
Summary of PhD Program:
Robotic chemists [1] are a totally new and disruptive development in human-centric labs, and these systems are already beginning to carry out complex experiments that require skills beyond sample transportation (e.g., sample weighing [2] and scraping samples from vials [3]. This raises several interesting questions regarding safety in a mixed robot/human lab environment. We will address this here by developing novel methods for adding safety and environmental constraints within learned robotic skills, thus allowing robots to operate more efficiently in complex and variable multiuser human lab space.
Application Deadline: 30 June 2024
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15. Fully Funded PhD Position in Decarbonising global supply chains: tools for trade-off decision-making
Summary of PhD Program:
The energy transition for a low carbon future requires a reduction in greenhouse gas emissions from fossil fuel usage along global supply chains (GSCs). GSCs are influenced by, and need to respond to, complex tensions between regulatory, logistics, economic, and geopolitical factors. Optimisation of GSCs therefore needs solving using modelling that is well-constrained and can navigate multi-objective, conflicting issues, with regularly updated assumptions and re-calibration. GSCs will hugely benefit from a dynamic decision support system (DDSS) that can guide stakeholders in informed trade-off decision making.
Application Deadline: 15 April 2024
16. Fully Funded PhD Position in Data science and child health inequalities
Summary of PhD Program:
We are excited to share this application for a 4-year PhD studentship based in the Division of Child Health, University of Liverpool, in conjunction with Alder Hey Children’s Hospital, Liverpool, and Imperial College London. The studentship is funded by Health Data Research UK (HDRUK), and examines important issues around child health, with a particular focus on inequalities. The theme of this PhD is “ANTIBIOTICS IN YOUNG CHILDREN”. In this PhD you will use large regional and national datasets to develop an in-depth understanding of (i) the patterns of antibiotic use in young children, (ii) the associations between early years antibiotic use and later child health outcomes especially the development of asthma and wheeze, and (iii) the impact that breastfeeding, maternal smoking, and other factors associated with socioeconomic status, have on these risks.
Application Deadline: 30 April 2024
17. Fully Funded PhD Position in Computationally driving automated functional materials discovery for net zero technologies with machine reasoning and decision-making
Summary of PhD Program:
This project, suited to a student with a Computer Science or Mathematics background, will formally define the nature and consequences of the decisions that need to be made in the automated workflow and identify both the optimal combination of existing methods and tools to accelerate discovery and the gaps in capability that currently exist. The student will develop new methods and tools to address those gaps. Their project has the scope to span the entire process from initial suggestion of experimental targets through the autonomous assessment of experimental data produced by the automated workflow to the ultimate definition of experimental success in realising, rather than merely proposing, a new functional material. It offers the student the opportunity to both develop new methods and to participate in implementing them in a new workflow that will change how we find the materials that society will need in the future.
Application Deadline: 30 June 2024
18. Fully Funded PhD Position in Computational exploration of substrates and interfaces for thin film solar cells
Summary of PhD Program:
In this PhD project you will aim to understand the interaction of the layers at the interface of the transparent conducting oxide and the solar absorbing material and how this effects optical properties. Using a combination of machine learning and physical modelling, the student will computationally investigate the band alignments between transport and solar absorber layers and the atomic structure of the interfaces between the two. They will study the effect on optical performance and potential device efficiency so that increased understanding will enable the discovery of new materials with improved properties. This material discovery will utilise novel approaches to compare the electronic structure of materials and leverage materials datasets recently developed by the team.
Application Deadline: 31 May 2024
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19. Fully Funded PhD Position in Automated experimental functional materials discovery for net zero technologies
Summary of PhD Program:
This project, suited to a student with a Physical Sciences or Engineering background, will develop and implement a robot-based materials synthesis workflow that uses a suite of software tools to assist in the key decisions that an experimentalist must make to discover a new functional material. The student will acquire expertise in robotic synthesis platforms, materials synthesis and characterisation and in programming and software organisation, benefitting from the combined physical and computer science supervision. Their project will impact inorganic materials discovery in the most general way imaginable, for example building on our new family of electrolytes for solid state batteries [3].
Application Deadline: 30 June 2024
20. Fully Funded PhD Position in Analysis of the role of liver sinusoidal endothelial cells in methotrexate-induced liver toxicity
Summary of PhD Program:
Liver sinusoidal endothelial cells (LSECs) comprise approximately 50% of the non-parenchymal hepatic cells. They play a vital role in hepatic microcirculation and provide a physiological barrier to the movement of xenobiotics from the bloodstream to hepatic tissue. Methotrexate (MTX) is a chemotherapy and immunosuppressive drug, used at a high dose to treat leukaemia, breast cancer, lung cancer and at a lower dose to manage a variety of autoimmune diseases. The most common adverse effects include hepatotoxicity and blood abnormalities with the mechanism of MTX-induced hepatotoxicity obscure. Our preliminary data from a rat model of MTX injury has shown that MTX can adversely affect liver endothelial cell physiology.
Application Deadline: 29 November 2024
21. Fully Funded PhD Position in Alterations in reparative dentinogenesis with ageing, gender and genetic predisposition
Summary of PhD Program:
Dental pulp exposure caused by tooth decay or injury can lead to life-threatening infections. Following injury, reparative dentinogenesis serves a vital purpose through the accelerated generation of tertiary dentine, comprising mineral and type I collagen. The regenerative activity is driven by odontoblasts derived from progenitor cells residing in the dental pulp. The effectiveness of regeneration is therefore critical to the dental pulp’s ability to respond to minor tooth injuries such as early tooth decay. At present, this natural defence mechanism can be overwhelmed by rapidly progressing dental decay, which often results in toothache or pulp necrosis. It is therefore critical to understand the mechanism of this intrinsic repair process including the response of the dental pulp to dental cements used during endodontic procedures.
Application Deadline: 1 March 2025
22. Fully Funded PhD Position in Advanced Information Storage
Summary of PhD Program:
Digital information can be stored in different types of devices depending on the use and how frequently the data need to be accessed. In a typical computer, data that are infrequently accessed are stored in hard disk drives (HDDs). These can be magnetic devices with high storage density in which binary numbers (“0” and “1”) are encoded in the polarity (spin “up” and “down”) of a magnetic medium. Magnetic data storage is cheap and non-volatile, meaning the data persists after power to the device is cut off, but the speed of accessing the data is relatively slow because the read/write procedures involve moving mechanical parts. Data being frequently required, on the other hand, needs to be accessed on a much faster timescale. Memory devices dedicated to this purpose are volatile random-access memories (RAMs) — solid-state electronic devices in which information is electrically stored.
Application Deadline: 31 July 2024
23. Fully Funded PhD Position in Accelerating energy landscape exploration through optimisation, approximation and parallelisation
Summary of PhD Program:
The University of Liverpool is therefore offering multiple studentships for students from backgrounds spanning the physical and computer sciences to start in October 2024. These students will develop core expertise in robotic, digital, chemical and physical thinking, which they will apply in their domain-specific research in materials design, discovery and processing. By working with each other and benefiting from a tailored training programme they will become both leaders and fully participating team players, aware of the best practices in inclusive and diverse R&D environments.
Application Deadline: 30 June 2024
24. Fully Funded PhD Position in Accelerating computational materials discovery with diverse toolsets for verification and optimisation
Summary of PhD Program:
This project, suited to a student with a Computer Science or Mathematics background, will formally define the nature and consequences of the decisions that need to be made in the automated workflow and identify both the optimal combination of existing methods and tools to accelerate discovery and the gaps in capability that currently exist. The student will develop new methods and tools to address those gaps. Their project has the scope to span the entire process from initial suggestion of experimental targets through the autonomous assessment of experimental data produced by the automated workflow to the ultimate definition of experimental success in realising, rather than merely proposing, a new functional material. It offers the student the opportunity to both develop new methods and to participate in implementing them in a new workflow that will change how we find the materials that society will need in the future.
