University of Liverpool, 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 Liverpool, England.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Investigating cellular heterogeneity in tendon homeostasis and ageing using cutting-edge single-cell proteomics
Tendon injuries are a leading cause of pain, lameness, and early retirement in racehorses, with incidence increasing markedly with age. However, the cellular mechanisms driving tendon ageing remain poorly understood. This project aims to characterise how ageing alters the functional protein landscape of tenocytes, the principal tendon cells which exist as diverse subpopulations. Using cutting-edge single-cell proteomics (SCP), the candidate will investigate cellular heterogeneity within the equine superficial digital flexor tendon and identify age-related changes that contribute to tendon degeneration.
The project has four main objectives: (1) optimise SCP methodologies for equine tendon, including single-cell isolation and sorting; (2) generate high-resolution single-cell and bulk proteomic datasets from young, middle-aged, and aged tendons; (3) apply advanced bioinformatics to identify and characterise distinct tenocyte subpopulations and their age-associated phenotypes, integrating findings with existing single-cell transcriptomic datasets; and (4) validate key findings using immunohistochemistry and spatial localisation techniques. Together, these approaches will provide an unprecedented, functionally relevant understanding of tendon ageing.
The student will undertake interdisciplinary training across molecular biology, proteomics, and computational analysis. They will gain hands-on experience with rare SCP technologies (e.g. CellenONE and mass spectrometry) at the University of Liverpool’s Centre for Proteomics Research, alongside training in bioinformatics, including R, data integration, and pathway analysis. The project includes a 6–8 week placement at the Royal Veterinary College to develop expertise in tissue imaging and validation techniques. The supervisory team provides complementary expertise and strong collaborative links, ensuring exposure to a broad network of researchers and facilities.
The PhD is structured to support progressive skill development. The first year will focus on training, experimental design, and optimisation of protocols. The second year will centre on data acquisition (SCP and bulk proteomics), while the third year will emphasise data integration, validation, and independent analysis. The final phase will be dedicated to completing the thesis and disseminating findings through publications and conferences.
Deadline : 31 July 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: Graduate Teaching Fellowship (GTF) Sociology, Social Policy & Criminology
We welcome applications from candidates who have a good undergraduate degree and/or a Masters in Sociology, Criminology or cognate discipline, in the specific areas listed below:
- Sociological analyses of Looksmaxxing (supervised by Dr Brittany Ralph, Dr Charlotte Branchu, Dr Andrew Kirton)
- Can AI be Democratic? Critically Exploring Possible Futures for AI in Collective Political Practice (supervised by Professor Michael Mair, Dr Phil Brooker, Dr Katy Roscoe).
- Historicising environmental harm, extinction and restoration (supervised by Dr Laura Gutierrez, Dr Katy Roscoe).
- Studying the production, circulation, and reception of digital visions of city futures (supervised by Dr Paul Jones, Dr Phil Brooker; Dr Andrew Kirton; Professor Nicole Vitellone).
- “Lived experience”, leadership and expertise in criminal justice (supervised by Professor Shadd Maruna, Dr Alice Ievins, Dr Gemma Ahearne, Dr Paul Jones).
- Intersections between online misogynistic cultures and female sexfluencers (supervised by Professor Gabe Mythen, Dr Laura Naegler, Dr Gemma Ahearne).
- Neurodiversity in the Criminal Justice System (supervised by Dr Laura Naegler, Professor Barry Godfrey).
- Muslim women, Islamophobia and Football (supervised by Dr Leon Moosavi, Dr Gemma Ahearne).
- Avoidable deaths after contact with state agencies: investigating structural inequalities and outcomes (supervised by Dr Alice Ievins, Dr Scarlet Harris and Dr David Baker).
- Technology-facilitated Gender-based Violence (supervised by Dr Antoinette Huber, Dr Ellen Reeves, Dr Andrew Kirton).
- Public Health Criminology and sex workers (supervised by Dr Gemma Ahearne, Professor Susan Pickard, Professor Ross Coomber, Dr Janine Yazdi-Doughty (Dentistry).
- Understanding the supply use and implications of alcohol in prisons (supervised by Dr Carly Lightowlers and Professor Fiona Measham).
Deadline : 1 July 2026
View All Fully Funded PhD Positions Click Here
(03) PhD Degree – Fully Funded
PhD position summary/title: Bowes Chair PhD Studentship
The Bowes Chair PhD Studentship offers an excellent opportunity to pursue doctoral research on any aspect of democratisation, nationalism, or ethnicity studies, broadly defined, with a regional focus on Central and Eastern Europe or through comparative work involving other global regions.
Deadline : 30 June 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: Instrumentation studies for AWAKE Run 2c
The current AWAKE scientific program, called Run 2b, has produced several high impact results in recent years, including successful acceleration of the electron beam up to 2 GeV in a single stage of acceleration, demonstrated stable and reproducible seeded self-modulation (SSM) for a long proton bunch, and demonstrated the application of scalable plasma sources.
Run 2c has now been confirmed, which will use a second plasma channel and electron source to reach higher energies whilst maintaining and monitoring the beam quality for applications. This work will pave the way for this novel acceleration technology to drive compact machines towards the energy frontier.
Deadline : 19 December 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: MusicFutures: Performers’ Rights, Personality, and AI
As part of the AHRC MusicFutures Creative Cluster programme at the University of Liverpool, this fully funded full-time PhD studentship will work with the MusicFutures research team and alongside the programme’s 27 industry delivery partners to explore the legal and policy challenges facing performers in the evolving digital music ecosystem. The project will examine how current performers’ rights frameworks respond to emerging technologies such as artificial intelligence (AI) and synthetic media, and will investigate how performers’ identity, voice, artistic persona, and related data, can be better recognised and protected within UK law. Through engagement with musicians, industry stakeholders, and technology actors, the research will contribute to the development of innovative and sustainable legal approaches to supporting performers and protecting creative identity within the UK music sector.
Applications are invited for a fully-funded PhD studentship to conduct research on a full-time basis exploring the protection of the performer through a personality rights’ approach. The research would be conducted under the joint supervision of Dr Sabine Jacques, at MusicFutures, School of Law and Social Justice, University of Liverpool and Dr Georgia Jenkins, School of Law and Social Justice, University of Liverpool.
The successful candidate will be registered for their PhD at the University of Liverpool and will contribute to the activities of the MusicFutures Clinic and Lab. As part of this work, the candidate will develop an interactive tool mapping the legal protection of voice, likeness, and performers’ identity across key jurisdictions. This resource will support musicians, creative practitioners, and industry stakeholders in navigating the evolving legal landscape surrounding performers’ rights, personality rights, and emerging technologies such as AI-generated performances. The tool will also serve as a platform for amplifying and disseminating insights drawn from the empirical research conducted throughout the PhD, ensuring that the lived experiences and perspectives of performers gathered during the project are communicated to a wider audience across the music industry, policy, and research communities.
Deadline : 22 June 2026
Polite Follow-Up Email to Professor : When and How You should Write
Click here to know “How to write a Postdoc Job Application or Email”
(06) PhD Degree – Fully Funded
PhD position summary/title: Graduate Teaching Fellowships (GTFs) Liverpool University Law School
The Liverpool Law School invites applications for Graduate Teaching Fellowships (GTFs) commencing October 2026.
The successful candidates will join the Law School’s vibrant PGR community, with exciting plans to complete a doctoral research degree. They will additionally deliver undergraduate teaching in the Law School.
Deadline : 1 July 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: Graduate Teaching Fellowship (GTF), Liverpool Law School in collaboration with the European Criminal Law Academic Network (ECLAN)
We welcome research proposals falling within the area of European Criminal Law broadly defined. The field includes proposals on the intersections between European Criminal Law and other areas of law, including transnational criminal law, migration law, data protection law, law and technology/AI, and business and economic law. Proposals focusing on the constitutional and human rights dimensions of European criminal law would also be welcome.
Deadline : 1 July 2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Molecular Modelling and Data-Driven Discovery of Sustainable Home-Care Products
Predicting optimal compositions in home-care products is a major challenge, given the vast design space of often high-value ingredients. In detergents, this requires understanding the complex aqueous chemistry of small molecular components (e.g., fragrance molecules) and how they interact with fibrous materials. Exploring this empirically for the thousands of components available to formulation design would be resource-intensive and impractical. This motivates the PhD project, which will exploit a combined data science–molecular simulation approach, cross-validated with wet chemistry, to optimise existing formulation products and, when combined with state-of-the-art cheminformatics approaches, design new ingredients for sustainable product innovation.
You will employ Bayesian optimisation to systematically reduce large catalogues of potential formulation ingredients based on key descriptors derived from existing data. For the selected subset, enhanced-sampling molecular dynamics approaches will be used to determine mechanisms and rates for the reversible binding of molecules to fibrous surfaces in wet and dry conditions—the key indicators of ingredient performance. The simulations will reveal how molecular topology and chemistry control penetration of the surfactant-rich interfacial layer at fibres during washing, and subsequent molecule release in air.
By integrating these molecular insights with Bayesian inference and cheminformatics, the computational tools developed in this project will enable the efficient selection and prediction of new formulation ingredients for direct evaluation in wet chemistry experiments carried out by industry partners. As such, we are seeking a highly motivated candidate with interests in molecular modelling, digital design for real-world problems, and combining advanced tools in data science with complex molecular-scale problems.
Deadline : 31 August 2026
Click here to know “How to Write an Effective Cover Letter”
(09) PhD Degree – Fully Funded
PhD position summary/title: Design and Development of Ultra‑Long‑Acting Injectable Depot Technologies for Chronic Viral Infection Therapy
Chronic viral infections such as HIV and hepatitis B (HBV) require lifelong therapy, yet daily oral dosing remains a major barrier to adherence and long‑term viral suppression. Ultra‑long‑acting injectable drug delivery systems, capable of sustaining therapeutic levels for several months, offer a transformative alternative. However, current long‑acting technologies are limited to highly lipophilic drugs, leaving a critical gap for the many first‑line antivirals that are hydrophilic and require high, sustained systemic exposure. This PhD project aims to address this unmet need by developing a next‑generation injectable depot platform capable of delivering water‑soluble antiviral agents for 6 months and beyond from a single administration.
The student will design, synthesise, and evaluate innovative depot‑forming systems, such as olegogels, that can load and control the release of hydrophilic antiviral agents. The project will combine advanced materials engineering, drug-excipient interaction design, and mechanistic release modelling to create depots with tuneable release kinetics and long‑term stability. The candidate will develop and characterise formulations using a wide range analytical method including rheology, thermal analysis, spectroscopic mapping, microstructure imaging, and in vitro release testing, supported by quantitative modelling to understand and predict long‑term behaviour. The project’s novelty lies in its focus on hydrophilic antiviral drugs, an area where current long‑acting technologies fail, offering the potential to unlock multi‑month treatment options for millions of patients worldwide.
As a part of the research community of the Centre of Excellence for Long-acting Therapeutics – Global Health (CELT, https://www.liverpool.ac.uk/celt-global-health/), the student will receive comprehensive training in formulation science, material chemistry, drug delivery, in vitro and in vivo methods that are used for medicine development. They will work within a multidisciplinary environment spanning pharmaceutics, materials science, and pharmacology. Collaboration with clinical and industrial partners will provide exposure to translational considerations, regulatory expectations, and real‑world constraints in long‑acting product development. Opportunities for short research placements or industrial visits will further strengthen the student’s technical and professional development.
Deadline : 31 July 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: Atmospheric Plasma Polymer Coatings and Sensor Integration for Harsh Energy & Defence Environments
Photodiodes and other optoelectronic sensing devices are increasingly required to operate reliably in harsh environments, including energy generation, industrial processing, and defence-related settings. In these applications, devices may be exposed to radiation, thermal cycling, moisture ingress, and corrosive chemical attack, all of which can degrade performance, shorten operational lifetime, and compromise measurement integrity. Conventional passivation and protective coating methods (e.g. high-temperature or vacuum-based deposition) can be difficult to implement on sensitive devices or complex assemblies, and may be unsuitable for low-cost, scalable manufacturing or retrofit deployment.
This PhD project will develop atmospheric, low-temperature plasma polymerisation (LTAPP) as a flexible and deployable route to producing passivation and protective coatings for photodiodes, deposited under ambient conditions. The research will investigate how plasma process parameters and precursor chemistries can be engineered to deliver coatings with enhanced barrier performance, corrosion resistance, radiation tolerance, and mechanical durability, while maintaining optical compatibility and preserving device responsivity. Coating strategies will be assessed for their impact on key photodiode performance metrics including dark current, stability, spectral response, and long-term drift.
Potential application areas include radiation-resilient photodetection, robust optical sensing for industrial monitoring and process control, and protective coatings for photodiode-based instrumentation used in nuclear, aerospace, and defence environments. The student will undertake a multidisciplinary programme of work encompassing plasma process development and diagnostics, surface and materials characterisation (e.g. FTIR, XPS, SEM/AFM), accelerated ageing and irradiation testing, and photodiode performance benchmarking.
The outcomes will include improved understanding of coating formation mechanisms and degradation pathways, alongside prototype passivated photodiode demonstrators and guidance for future scale-up and deployment.
Deadline : 30 June 2026
Connect with Us for Latest Job updates
(11) PhD Degree – Fully Funded
PhD position summary/title: Quantitative Palaeogeography and Source-to-Sink Modelling of the UK Triassic, East Irish Sea Basin
Predicting where good reservoirs and effective seals will be found in any sedimentary basin depends ultimately on understanding where sediment came from, how it travelled, and what controlled its composition and variability along the way. For the East Irish Sea Basin, that means understanding the Triassic source-to-sink system: the upland source areas, transport pathways and depositional basins that together determined what kinds of rock were laid down, and how heterogeneous they are.
Traditional palaeogeographic analysis addresses these questions qualitatively. Recent work by the supervisory team has demonstrated that quantitative methods can go substantially further, using numerical modelling to test competing source-to-sink scenarios against real observations and generate predictive maps of reservoir and seal heterogeneity. This PhD builds directly on that foundation, applying the latest generation of landscape evolution models to reconstruct Early and Late Triassic sediment routing across the UK and northwest Europe, with a particular focus on implications for the East Irish Sea.
Deadline : 30 June 2026
Polite Follow-Up Email to Professor : When and How You should Write
(12) PhD Degree – Fully Funded
PhD position summary/title: Hydrogen storage in engineered caverns in Mid–Upper Triassic salt of the East Irish Sea Basin
The shift to renewable energy brings a fundamental challenge: wind and solar generation is intermittent, and society needs large-scale storage to bridge the gaps. Hydrogen is emerging as one of the most promising carriers for storing this energy, but it requires safe, geologically suitable underground repositories. Engineered salt caverns, long used for gas storage, are an ideal solution, and the thick Triassic halites of the Mercia Mudstone Group (MMG) beneath the East Irish Sea Basin are a compelling candidate for development at scale.
This PhD, funded by Eni as part of a coordinated multi-university programme, will deliver the first systematic subsurface characterisation of those salt units, covering their thickness, purity, structure and faulting, to assess their real-world feasibility for hydrogen storage.
Deadline : 30 June 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: H2 and CO2 Storage in Lower Triassic Sandstones, East Irish Sea Basin
You will work with an exceptionally rich subsurface dataset: wireline logs from up to 126 wells, multiple 3D seismic surveys, and supplementary onshore data from the BGS, covering areas both inside and outside the CS004 licence area to allow direct comparison of sandstone properties in structured hydrocarbon fields versus open saline aquifers. Using Petrel and Techlog, you will map the Ormskirk Formation in three dimensions, defining reservoir thickness, porosity, clay content and structural configuration, and identifying potential trapping geometries beneath the Mercia Mudstone Group caprock.
The work unfolds across six work-packages, progressing from training and data compilation through to integrated seismic and well correlation, structure mapping, and final recommendations for Eni on the most geologically suitable storage locations relative to existing faults and infrastructure.
Deadline : 30 June 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: Experiment- and Human-Guided Representation Learning for Accelerated Chemical Discovery (Liverpool–Manchester)
A central challenge is that many chemical discovery problems have only a small number of experimental measurements, yet the underlying molecular spaces are vast and complex. Dimensionality reduction and representation learning can reveal hidden structure, but naïve compression risks discarding crucial chemical information and producing misleading insights. This project will address that by creating modelling strategies that prioritise what matters for downstream chemical objectives under sparse supervision.
You will develop AI modelling and analysis pipelines that:
- learn task-relevant molecular representations from limited experimental measurements,
- support incremental/online learning as new data arrives,
- incorporate human-in-the-loop guidance so domain experts can steer which patterns should be preserved for the chemical task,
- and evaluate performance in realistic chemical discovery workflows with close collaboration with chemists.
Deadline : 30 June 2026
(15) PhD Degree – Fully Funded
PhD position summary/title: Mitigating Synthesisability Loss in 3D Generative Models
The molecule design process is often hampered by high costs and lengthy development cycles. Recent advances in 3D-aware generative models offer a promising route to accelerate novel molecule discovery, yet these approaches frequently produce compounds that are not practically synthesisable. This project will systematically investigate how 3D-molecular novelty impacts synthesisability and will develop methods to mitigate this loss. Building on state-of-the-art 3D architectures, the research will quantify the synthesisability gap by integrating conditioning constraints from high-quality informatics sources such as the Cambridge Structural Database. Multiple levels of 3D complexity, e.g., the incorporation of interaction field constraints from resources like Isostar, Superstar, and hotspot potentials—will be developed to understand their impact on synthesisability. Validation will be achieved through case studies targeting well-characterised systems (e.g., hERG and neglected tropical disease targets), ensuring that the outputs have direct relevance to molecule discovery pipelines. The project is positioned to bridge the gap between digital design innovation and practical synthesis, addressing a critical bottleneck in AI-driven materials chemistry.
This project will be supervised by Dr Anthony Bradley (Department of Chemistry), Dr Gabriella Pizzuto (Department of Computer Science and Informatics), Dr John Ward (Department of Chemistry), Dr Ian Wall (GlaxoSmithKline) and Dr Bojana Popovic (Cambridge Crystallographic Data Centre).
The team is world-leading in this topic and provides a cross- and inter-disciplinary environment across Chemistry Automation, Drug Discovery, AI, and Robotics. Anthony Bradley, is an ECA on a joint appointment between Chemistry and Computer Science, and his research is in experimental and computational automation in molecule development. He co-developed the first 3D-aware generative deep models and has designed molecules in clinical studies. Gabriella Pizzuto is an ECA on a joint appointment between Computer Science and Chemistry, holds a RAEng Research Fellowship, is Co-I and ECR committee co-chair on AIchemy and RAL at the Royce Institute. Her research at the intersection of robot learning and control have been outstanding paper finalists at flagship robotics conferences. Ian Wall, as Head of Computer Aided Molecule Design at GSK, offers decades of expertise in designing molecules using computation. Bojana Popovic contributes deep knowledge in 3D molecule design and function as Discovery Sciences Lead at CCDC. Together, their collective strengths and proven track records in both methodological innovation and practical application provide an ideal mentoring environment.
Deadline : 30 June 2026
(16) PhD Degree – Fully Funded
PhD position summary/title: Generative AI Models for Materials Discovery
You will explore cutting-edge techniques in generative modelling (e.g., diffusion models and large language models) and integrate them with chemically-informed constraints and first-principles calculations. The goal is to contribute to AI-driven improvements of the crystal prediction workflow to generate experimental targets, predict their stability and properties, and ultimately accelerate materials discovery beyond current paradigms.
You will join a multidisciplinary research group working at the interface of solid state materials science and AI. You will have access to high-performance computing resources, work closely with experimentalists, and have the opportunity to publish in leading journals. This studentship is suited for a student with a background in computational materials science, machine learning or artificial intelligence. Experience with Python and writing code is essential. Experience with ML frameworks (PyTorch/TensorFlow), graph and/or neural nets and familiarity with materials science, crystallography and/or solid-state chemistry would be an asset. Please clearly highlight your relevant experience in your application.
Deadline : 31 August 2026
(17) PhD Degree – Fully Funded
PhD position summary/title: Discovery of new inorganic materials for net zero applications
The experimental discovery of new inorganic materials shows us how crystal structure and chemical composition control physical and chemical properties. It is therefore critical for our ability to design functional materials with the properties we will need for the next zero transition. Examples include ion motion and redox chemistry in batteries for transport and grid storage, solar absorbers for photovoltaic technologies, rare-earth-free magnets for wind power, catalysts for biomass conversion or water splitting for hydrogen generation, components in low-energy information technology and myriad other unmet needs.
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 range of applications, including targeting Li and Mg transport for advanced solid state battery materials. 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. The success of this approach is demonstrated in a range of papers (Science, 2024, 383, 739-745; J. Am. Chem. Soc., 2022, 144, 22178-22192; Science, 2021, 373, 1017-1022).
The project is based in the Materials Innovation Factory (https://www.liverpool.ac.uk/materials-innovation-factory/) at the University of Liverpool, a state-of-the-art facility for the digital and automated design and discovery of materials. The project will make use of tools 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. Examples include the first tools to guarantee the correct prediction of a crystal structure (Nature 68, 619, 2023), and to learn the entirety of known crystalline inorganic materials and guide discovery (Nature Communications 12, 5561, 2021). You will also make use of the first tools that use explainable symbolic AI to explore chemical space (Clymo, J., et al. Angew. Chem. Int. Ed., 2024) You will thus gain understanding of how the artificial intelligence and computational methods developed in the team accelerate materials discovery, and be able to contribute to the development of these models, which are designed to incorporate human expertise.
Deadline : 31 July 2026
(18) PhD Degree – Fully Funded
PhD position summary/title: Discovery of inorganic cathode materials and/or solid electrolytes for next generation battery technology
This project focuses on the discovery of next generation battery materials through experimental design and compositional exploration. Combining solid-state synthesis, advanced structural characterization, and electrochemical optimization the project will explore novel cathode materials and/or solid electrolytes and offers an opportunity to develop expertise in materials chemistry while collaborating with computational scientists, physicists, and engineers to accelerate clean energy innovation.Rechargeable batteries play a critical role in enabling the global transition towards clean and sustainable energy technologies. Discovery of new high-performance cathode materials and solid electrolytes is the core challenge to advance these technologies. This project involves the experimental design and compositional exploration of a new class of inorganic materials, detailed characterisation of the materials and full-cell level optimisation of the electrochemical properties and understanding of relevant new mechanisms and chemistries.
The project will combine synthetic solid-state chemistry, advanced structural analysis and measurement of physical and electrochemical properties of new cathode materials and solid electrolytes, enabling the successful candidate to develop a diverse experimental skillset in materials chemistry and battery chemistry. The focus will be on the discovery of new materials and structures with enhanced performance, accelerated by working with computational design experts. Owing to the multi-faceted nature of this dynamic project, the student will work closely with computer scientists, inorganic (electro)chemists, physicists, engineers, and material scientists to discover new inorganic cathode materials and solid electrolytes for batteries. This provides an opportunity to a participate in AI-driven discovery.
Deadline : 31 August 2026
(19) PhD Degree – Fully Funded
PhD position summary/title: Catalyst development for biomolecule modification (industrially funded project)
A PhD position is available in the group of Professor John Bower at the University of Liverpool (https://bowerresearchgroup.wordpress.com/). The position is funded for 3.5 years and will start in October 2026. Informal enquiries should be directed to Professor John Bower ([email protected]).
The research project: The project will involve the design of new organometallic catalysts for the selective modification of important biomolecules. The aim is to develop processes that are amenable to large scale manufacture. You may also conduct studies to troubleshoot wider synthetic issues identified during the scale-up. The project is fully funded by industry.
Training: The successful applicant will receive high level training in compound characterisation (NMR analysis etc.), organic chemistry, organometallic chemistry, theory/mechanism and transferable skills (e.g. presentations and report writing). The project is aligned with the UoL’s newly formed Centre for Translational Molecular Synthesis. The Centre provides enhanced training opportunities for associated PhD students, including: a student led seminar committee, inter-research group problem sets, presentation opportunities, and enhanced interactions with industry.
The successful candidate: We seek a highly motivated individual, who has performed strongly at undergraduate level and envisages pursuing a career in chemical research.
The group environment: The group’s research portfolio encompasses multiple themes, which are all broadly directed at the development of efficient new methods for organic synthesis. In each area we have made high level contributions, and this is reflected in the quality of the group’s publication output (see: https://bowerresearchgroup.wordpress.com/publications/). We are housed in the recently refurbished and state of the art “Regius Laboratory for Synthetic Chemistry”. The laboratory contains 22 custom designed fume cupboards equipped with digitally controlled three stage vacuum systems, Schlenk lines and digital work stations. The laboratory also houses high quality instrumentation and equipment, including a cryogenic reaction station, automated purification systems, a glovebox, an SFC, a semi-preparative HPLC, and a GCMS. A virtual walk through is available here: https://www.youtube.com/watch?v=dhHhEOaPrP4&feature=youtu.be. Our activities are supported by a recently upgraded cryoprobe-equipped 500 MHz NMR instrument. The group consists of an international mix of highly motivated postdoctoral researchers
Deadline :30 June 2026
(20) PhD Degree – Fully Funded
PhD position summary/title: Reimagining Music Venues: Spatial, Digital & Experiential Innovation in Live Music
Applications are invited for a fully funded PhD studentship in the Department of Architecture at the University of Liverpool, in collaboration with MusicFutures. The studentship will commence on a full-time basis from 1 October 2026. While the PhD will be formally based within CAVA | Centre for Architecture and the Visual Arts, it is inherently interdisciplinary in scope, with strong links to the School of Music’s Institute of Popular Music (IPM).
MusicFutures is a £7.2m AHRC-funded programme (2025–2030), led by the University of Liverpool, that aims to build a world-leading, sustainable, and inclusive R&D ecosystem for music, creativity, and technology in the Liverpool City Region and beyond. Bringing together academic and industry partners, the programme delivers innovation-led R&D, skills and talent development, and entrepreneurship initiatives.
Operating from a dedicated hub at LEX, the Liverpool Experience Campus (formerly Arena and Convention Centre Liverpool), MusicFutures brings together over 27 regional and national partners, including UK Music, LIVE, and the UK Intellectual Property Office. This extensive partnership network enables the programme to operate at the intersection of research, industry, and policy, supporting innovation across the UK music ecosystem.
Across all of its activities and funding programmes, MusicFutures is committed to championing inclusivity. Central to this commitment is a focus on increasing diversity and
representation, ensuring that both current and future artists, as well as music sector professionals, can access opportunities, resources, and pathways to sustainable careers.
At the heart of this PhD is a focus on creative technologies and the transformative potential of emerging tools to reshape the music sector. The project will explore how technologies such as AI, real-time systems, and responsive digital environments can enable the development of new, imaginative, and economically impactful products, services, and experiences. By foregrounding innovation and scalability, the PhD will contribute to models of growth that support a more sustainable and future-facing music ecosystem.
Deadline : 10 July 2026
About The University of Liverpool, England –Official Website
The University of Liverpool (abbreviated UOL; locally known as The Uni of) is a public research university in Liverpool, England. Founded as a college in 1881, it gained its Royal Charter in 1903 with the ability to award degrees, and is also known to be one of the six ‘red brick’ civic universities, the first to be referred to as The Original Red Brick. It comprises three faculties organised into 35 departments and schools. It is a founding member of the Russell Group, the N8 Group for research collaboration and the university management school is triple crown accredited.
Ten Nobel Prize winners are amongst its alumni and past faculty and the university offers more than 230 first degree courses across 103 subjects. Its alumni include the CEOs of GlobalFoundries, ARM Holdings, Tesco, Motorola and The Coca-Cola Company. It was the UK’s first university to establish departments in oceanography, civic design, architecture, and biochemistry (at the Johnston Laboratories). In 2006 the university became the first in the UK to establish an independent university in China, Xi’an Jiaotong-Liverpool University, making it the world’s first Sino-British university. For 2021–22, Liverpool had a turnover of £612.6 million, including £113.6 million from research grants and contracts. It has the seventh-largest endowment of any university in England. Graduates of the university are styled with the post-nominal letters Lpool, to indicate the institution.
Disclaimer: We try to ensure that the information we post on VacancyEdu.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.
Related Posts
