Programme Length: Four years 

Contract Type: Full-time 

Prospective Start Date: October 2026

The positions are filled in a first-in, first-served basis therefore we encourage early expression of interest. 

Net²Zero Centre for Doctoral Training 

The EPSRC and BBSRC Centre for Doctoral Training in Negative Emission Technologies for Net Zero (CDT in Net²Zero) is an equal partnership between Aston University (lead), University of Nottingham, Queen’s University Belfast, and University of Warwick. Through cutting-edge research and interdisciplinary collaboration, this CDT aims to tackle global challenges related to climate change and sustainability.  

Our four-year doctoral programme is training the next generation of research leaders tasked to remove greenhouse gases from the environment.  The CDT in Net²Zero focuses on the use of biomass to replace fossil fuels and removal (or capture) of CO₂ from the atmosphere, with the potential to create new sources of fuels and chemicals. The centre’s expertise covers Direct Air Capture and CO₂ Storage (DACCS), CO₂ utilisation, biochar synthesis and utilisation, biomass transition to materials and chemicals, and biomass to energy with carbon capture and storage (BECCS) etc. 

Training and Development

Through our research training programme, you will be able to: 

• Develop a network with doctoral researchers, academia, government and industry. 
• Access to cutting-edge facilities and opportunities for international collaboration, preparing you for a successful career in academia, industry, or policymaking. 
• Carry out a training programme covering practical engineering, communication, entrepreneurship, and business skills to prepare students for diverse sectors. 
• The CDT facilitates direct contact between students, industrial partners, policy makers, and third sector organisations to support future careers. You will have the opportunity of a three-month placement with industry, research collaborators or policymakers. 

Project Overview and Background

As global energy demand rises, reducing carbon emissions has become increasingly challenging. Gas‑turbine‑based power generation continues to play a central role in electricity supply, yet it is also a major source of CO₂ emissions and contributes to grid instability as renewable penetration increases. Achieving national net zero targets require integrated solutions that simultaneously decarbonise existing infrastructure, enhance grid flexibility and enable the production of sustainable energy carriers.

Hybrid energy systems offer a promising pathway, but current designs face important limitations. Many studies depend heavily on electricity‑intensive Power‑to‑X routes while underutilising thermochemical biomass conversion and advanced solar‑thermal technologies. Emerging carbon‑capture approaches such as electrochemically mediated amine regeneration show strong potential for flexible, low‑temperature operation, yet they remain largely unexplored within fully integrated hybrid systems. Additionally, current techno-economic feasibility studies rely on steady‑state modelling and overlook the dynamic behaviour under variable grid and weather conditions. These gaps restrict the deployment of high‑efficiency, multi‑source energy platforms capable of adaptive and resilient performance.

This PhD project aims to develop and evaluate a novel hybrid system that integrates gas turbines, low-temperature carbon capture, biomass gasification, and advanced solar thermal applications to enable carbon-negative fuel production and grid support. The research will involve thermodynamic modelling, transient simulation under UK climate and grid demand profiles, economic assessment, life‑cycle analysis, and AI‑driven multi‑objective optimisation. Although the initial focus will be on gas turbines, the hybridisation framework developed in the project will be designed to be transferable to other industrial and power‑generation applications, including industrial furnaces (e.g. steel, cement) and waste‑to‑energy plants. The overarching objective is to design intelligent control strategies that coordinate energy flows across the hybrid system, maximise CO₂ utilisation, and demonstrate the technical and economic viability of a closed‑loop carbon platform suitable for large‑scale deployment.

Person Specification

•   Motivation, creativity, and resourcefulness
•  A mature approach to learning
•  Candidates should have been awarded, or expect to achieve:
  1.  A Bachelors degree in Chemical Engineering, Mechanical Engineering, or a closely related discipline with an award of First Class or 2.1 
•  Experience in, or willingness to learn modelling and simulation tools such as:
  1.  MATLAB
  2.  Python
  3.  Engineering Equation Solver
  4.  Aspen Plus
  5.  TRNSYS
•  A solid foundation in thermodynamics, process modelling, programming or energy systems

Excellent written and oral communication skills are essential, as the successful candidate will collaborate closely with other researchers, contribute to high‑quality journal publications, and present findings at international conferences. We welcome applicants who are enthusiastic about interdisciplinary research and eager to develop advanced technical and analytical capabilities.

Equality, Diversity and Inclusion 

Equality, Diversity and Inclusion is at the heart of the Net²Zero CDT and we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where all belong.

We therefore particularly encourage applications from candidates who are likely to be underrepresented in a higher education setting.  These include people from Black, Asian and minority ethnic backgrounds, disabled people, LGBTQI+ people, and women.

Financial Support

• Four-year studentships with a tax-free stipend at UKRI rate (£21,805 per year for 2026/27) 
• Paid tuition fees
• A generous research training support grant.

Overseas Applicants 

This opportunity is currently open for home fee status candidates only. You can find the rules for home fee eligibility here.

How to Apply 

All applicants should first submit an Expression of Interest (EOI) form here (you only need to submit one Expression of Interest regardless of the number of projects you are interested in). Successful applicants will be invited to submit a formal application via the NottinghamHub. 

When submitting an EOI form, please include the following information: 

1. Your personal details for processing the application.  
2. A copy of your passport and, where relevant, include evidence of settled or pre-settled status. 
3. Your personal characteristics, for monitoring purposes only. 
4. Your Academic background.  We will require English language copies (or screen captures) of the transcripts and certificates for all your higher education degrees, including any bachelor's degrees. 
5. If English is not your first language, you will be required to present evidence that you meet the English Language requirements. You can submit the evidence at a later stage. the evidence at a later stage. 
6. Your research background and experience.  
7. Expressions of Interest will be assessed against the following criteria:

       A. Candidate’s motivation and experience: The extent to which the candidate’s expertise, experience, and ambitions align with the goals of the Net2Zero CDT programme. 

       B. If you are shortlisted, you will have the opportunity to meet the potential supervisors.

These studentships are open until filled, and hence early applications are strongly encouraged. 

Contact Information 

For general application or process enquiries, please contact: 

• Beatrix Gateb (Senior CDT Administrator for Net2Zero CDT) at beatrix.gateb1@nottingham.ac.uk  

For academic enquiries, please contact:

• Dr Ioanna Dimitriou (main supervisor) at Ioanna.Dimitriou@nottingham.ac.uk
• Prof. Hao Liu (Co-Director of Net2Zero CDT) at liu.hao@nottingham.ac.uk  
• Prof. Eleanor Binner (Co-Director of Net2Zero CDT) at eleanor.binner@nottingham.ac.uk

Closing Date: 30 Sep 2026
Category: Studentships

Programme Length: Four years  

Contract Type: Full-time  

Prospective Start Date: October 2026 

This Engineering Doctorate studentship sits within the Centre for Doctoral Training (CDT) in Innovation for Sustainable Composites Engineering (ISCE), a doctoral training programme focused on developing the next generation of specialists in sustainable composites. The CDT in Innovation for Sustainable Composites Engineering is part of the Bristol Composites Institute in collaboration with the University of Nottingham Composites Research Group. 

Project Description

EngD on Double Diaphragm Forming for Sustainable Composites Manufacturing sponsored by Syensqo

Double diaphragm forming (DDF) is a promising means of producing sustainable fibre-reinforced composites, offering key advantages over traditional autoclave processing of prepreg sheet materials. The benefits, including reduced manual labour and shorter process times, align with the broader goals of environmentally responsible manufacturing, material efficiency, and high-performance composite production. Despite these benefits DDF for larger volume manufacturing achieving defect-free components remains a challenge, as numerous interdependent material and process parameters are involved that are difficult to optimise manually. Maintaining precise fibre orientation to prevent localised wrinkling, requires careful control, otherwise DDF components are prone to defects, which may exhibit inferior mechanical properties compared to those produced using traditional processes. Further challenges exist in understanding the temperature sensitivity and differing cure cycles of the component sheet materials as well a dealing with their directional properties because of the anisotropic nature of the prepreg sheets. Achieving the desired geometry in a defect free DDF finished component requires careful selection of materials and processing parameters. The EngD student will: 

• Develop a reliable simulation model to identify suitable material combinations to substantially reduce, or even eliminate, the need for physical feasibility trials. 
• Define a suite of deployable tools and predictive models to identify optimal polymer film and prepreg chemistry combinations over a range of cure cycles.  
• Provide you with hands-on experience at one of the world’s leading specialty chemicals companies, working with real-world industrial-scale composite manufacture, alongside state-of-the-art composite materials. 
• Deepen your passion for automated manufacturing processes, driving the development of sustainable composite structures for high-performance applications, preparing you for a career at the intersection of innovation and industry. 
• Support Syensqo’s ambition of promoting DDF in the composites industry by developing the knowledge, skills and end-user tools.   

Funding

• £26,780 tax-free enhanced stipend per year
• Full tuition fees at the Home student rate
• £9,200 per year for activities that support research

Eligibility

• Home/permanent UK residents subject to security clearance

Application

To apply please submit a personal statement, outlining your experience and your interests in the EngD project, plus your CV and transcript of results to  

https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx   

Please do not submit a project description; this is unnecessary as the project is already defined. Please enter Professor Lee Harper as the main supervisor (lee.harper@nottingham.ac.uk) and indicate that the funding is being provided by the CDT in Innovation for Sustainable Composites Engineering.  

Contact Information 

For general and application enquiries, please contact Beatrix Gateb (Senior CDT Administrator for ISCE CDT) at beatrix.gateb1@nottingham.ac.uk.

For academic enquiries, please contact Prof. Lee Harper at Lee.Harper@nottingham.ac.uk.

Closing Date: 30 Jul 2026
Category: Studentships

The role holder will also have opportunities to support wider team activities and will be key to helping the overall operations thrive, working closely with project and quality managers, resource managements, alongside engineering and technical teams delivering the industry projects.

We are looking for a person who is enthusiastic and motivated by giving excellent administrative support to the team, is able to organise their own time and feels confident in prioritising their workload when supporting multiple projects. 

In return the University offers: 

• A friendly, diverse, and supportive working environment
• Flexible working opportunities
• Generous holiday entitlement of 27 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year.
• Our reward scheme grants bonuses of numerous values for excellent work
• We are committed to staff development through the provision of training, continued support, and career progression opportunities
• You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website

What next: 

We hope to hold first round interviews on Monday, 13^th July 2026, followed by a shorter 2^nd interview.

Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details.

Your working hours will be (36.25). If you are interested in part-time work (minimum 29 hours per week), we encourage you to apply. Please specify your preferred hours in your application. We may also consider job share arrangements. Please note this role is for a 2 year fixed term.

Requests for secondment from internal candidates will be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role.

Please contact Debra Fearnshaw  (debra.fearnshaw@nottingham.ac.uk) if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted

#LI-DNI

#INT

Closing Date: 05 Jul 2026
Category: Administrative, Professional and Managerial (APM)

About the role 

The Senior Research Development and Training Manager is a senior role within the Faculty of Engineering’s Research and Knowledge Exchange (ERKE) team.  You will lead a portfolio of activities to increase quality and success rates of funding applications, and embed research excellence in the development process.

You will be responsible for coordinating research development activities across the team, as well as overseeing the continued development and delivery of our comprehensive training and mentoring programmes to our research community. You will actively engage and work closely with research groups across the faculty, as well as internal and external research networks such as Engineering Research Futures, Research Development (RDN) , and the Researcher Academy.   

About the team

You will join the Engineering Research and Knowledge Exchange (ERKE) team, a collaborative and supportive group of research professionals embedded within the Faculty of Engineering. The team works closely with Faculty Operations, academic staff, and central University functions to support the full research lifecycle and to help the Faculty deliver against its strategic RKE objectives and KPIs.

The team values professionalism, inclusivity, shared expertise, and continuous improvement, and plays a vital role in enabling world‑class research at the University.

About you

You will be experienced in research and training development, ideally within a University or related context.  With excellent organisational skills and a proven ability to manage competing priorities, you will be comfortable working independently and as part of a small team often to tight deadlines. You will be confident working with internal and external stakeholders including funders and partner organisations providing expert advice to staff at all levels.

With excellent presentation and communication skills, you will enjoy delivering training and development to audiences at all career stages.  You will ideally understand and have experience of the Researcher Development Concordat and delivery of action plans for this or related initiatives.  Experience of research management systems (such as Worktribe RIS and UniCore) and working within a higher education or research environment will enable you to succeed in this role.

What we offer

• A friendly, diverse, and supportive working environment
• A hybrid working arrangement with the blended approach of home and office working each week
• Generous holiday entitlement of 30 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year.
• We are committed to staff development through the provision of training, continued support, and career progression opportunities
• You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website

What next

Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details.

This is a fixed-term position, maternity cover role available for 1 year. This is a full-time role (36.25 hours per week). If you are interested in part-time work (minimum 29 hours per week), we encourage you to apply. Please specify your preferred hours in your application. We may also consider job share arrangements.

Requests for secondment from internal candidates will be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role. 

Please contact Gaia Rossetti (gaia.rossetti@nottingham.ac.uk) if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted.

#LI-DNI
#INT

Closing Date: 01 Jul 2026
Category: Internal Only

Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details.

Your working hours will be 36.25 hours per week for a period of 4 months from 1/07/2026

Please contact Colin Snape, colin.snape@notiingham.ac.uk. if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted.

Closing Date: 30 Jun 2026
Category: Research and Teaching (R&T)

Location
 UK Other 

Closing Date
 Thursday 30 April 2026
 

Supervisors: Prof. Hao Liu, Dr Yaoyao Zheng, Nate Macmillan (AEL CCS)  

Programme Length: Four years 

Contract Type: Full-time 

Prospective Start Date: October 2026 

The positions are filled in a first-in, first-served basis therefore we encourage early expression of interest. 

Net2Zero Centre for Doctoral Training 

The EPSRC and BBSRC Centre for Doctoral Training in Negative Emission Technologies for Net Zero (CDT in Net2Zero) is an equal partnership between Aston University (lead), University of Nottingham, Queen’s University Belfast, and University of Warwick. Through cutting-edge research and interdisciplinary collaboration, this CDT aims to tackle global challenges related to climate change and sustainability.  

Our four-year doctoral programme is training the next generation of research leaders tasked to remove greenhouse gases from the environment.  The CDT in Net2Zero focuses on the use of biomass to replace fossil fuels and removal (or capture) of CO2 from the atmosphere, with the potential to create new sources of fuels and chemicals. The centre’s expertise covers Direct Air Capture and CO2 Storage (DACCS), CO2 utilisation, biochar synthesis and utilisation, biomass transition to materials and chemicals, and biomass to energy with carbon capture and storage (BECCS) etc. 

Training and Development 

Through our research training programme, you will be able to: 

• Develop a network with doctoral researchers, academia, government and industry. 
• Access to cutting-edge facilities and opportunities for international collaboration, preparing you for a successful career in academia, industry, or policymaking. 
• Carry out a training programme covering practical engineering, communication, entrepreneurship, and business skills to prepare students for diverse sectors. 
• The CDT facilitates direct contact between students, industrial partners, policy makers, and third sector organisations to support future careers. You will have the opportunity of a three-month placement with industry, research collaborators or policymakers. 

Project Overview and Background  

The project aims to develop and demonstrate a laboratory-scale reactor that can function as a biochar/bio-syngas generator and a bioenergy with carbon capture and storage (BECCS) reactor. 

Objectives: 

• In collaboration with a commercial laboratory furnace manufacturer, to conceptually design a laboratory-scale electrically heated furnace that can be used to house the multifunctional reactor.  
• To design and work with university’s engineering technicians to manufacture at least two types (fluidised bed and fixed bed) of the laboratory-scale reactor that can be housed in the electrically heated furnace and used to produce biochar and to evaluate the BECCS technology based on calcium-based and other solid sorbents. 
• To conduct biochar production tests by using the multifunctional reactor testing system with a range of biomass feedstocks and to characterise the biochar properties (e.g., pore size distribution, porosity) by using various analytical equipment (e.g., BET, SEM, XRD, TGA) available at the University of Nottingham. 
• To conduct CO2 capture tests by using the multifunctional reactor testing system with Calcium-based sorbents (at high temperatures) and other solid sorbents (including biochar-derived sorbents) (at low temperatures) – simulated CO2-containing gaseous mixtures will be used for the 1st phase of the tests and real CO2-containing flue gases will be tested in the 2nd phase of the tests. 

Person Specification 

Essential: 

Ideal candidates should hold or expect to gain a first-class or an upper second-class honours degree (or their equivalent) in one of the following subjects before the start date of the project: 

• Chemical engineering 
• Mechanical engineering 
• Materials sciences 
• Chemistry 
• Or a closely related subject. 

Desirable: 

Previous design and operational experience with any scale fluidised bed reactors is an advantage.

Equality, Diversity and Inclusion 

Equality, Diversity and Inclusion is at the heart of the Net2Zero CDT and we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where all belong. 

We therefore particularly encourage applications from candidates who are likely to be underrepresented in a higher education setting.  These include people from Black, Asian and minority ethnic backgrounds, disabled people, LGBTQI+ people, and women. 

Financial Support 

• Four-year studentships with a tax-free stipend at UKRI rate (£21,383 per year for 2026/27)  
• Paid tuition fees 
• A generous research training support grant 

Overseas Applicants 

This opportunity is currently open for home fee status candidates only. You can find the rules for home fee eligibility here.

How to Apply 

All applicants should first submit an Expression of Interest (EOI) form here (you only need to submit one Expression of Interest regardless of the number of projects you are interested in). Successful applicants will be invited to submit a formal application via the NottinghamHub. 

When submitting an EOI form, please include the following information: 

1. Your personal details for processing the application.  
2. A copy of your passport and, where relevant, include evidence of settled or pre-settled status. 
3. Your personal characteristics, for monitoring purposes only. 
4. Your Academic background.  We will require English language copies (or screen captures) of the transcripts and certificates for all your higher education degrees, including any Bachelor degrees. 
5. If English is not your first language, you will be required to present evidence that you meet the English Language requirements. You can submit the evidence at a later stage. the evidence at a later stage. 
6. Your research background and experience.  
7. Expressions of Interest will be assessed against the following criteria:

1. Candidate’s motivation and experience: The extent to which the candidate’s expertise, experience, and ambitions align with the goals of the Net2Zero CDT programme. 
2. If you are shortlisted, you will have the opportunity to meet the potential supervisors.

These studentships are open until filled, and hence early applications are strongly encouraged. 

Contact Information 

For general application or process enquiries, please contact: 

• Beatrix Gateb (Senior CDT Administrator for Net2Zero CDT) at beatrix.gateb1@nottingham.ac.uk  

For academic enquiries, please contact:

• Prof. Hao Liu (Co-Director of Net2Zero CDT) at liu.hao@nottingham.ac.uk  
• Prof. Eleanor Binner (Co-Director of Net2Zero CDT) at eleanor.binner@nottingham.ac.uk 

Closing Date: 15 Sep 2026
Category: Studentships

Location UK Other 

Closing Date Thursday 30 April 2026 

Supervisors: Dr Ming Li, Prof. Hao Liu 

Programme Length:  Four years 

Contract Type: Full-time 

Prospective Start Date: October 2026 

The positions are filled in a first-in, first-served basis therefore we encourage early expression of interest. 

Net²Zero Centre for Doctoral Training 

 The EPSRC and BBSRC Centre for Doctoral Training in Negative Emission Technologies for Net Zero (CDT in Net²Zero) is an equal partnership between Aston University (lead), University of Nottingham, Queen’s University Belfast, and University of Warwick. Through cutting-edge research and interdisciplinary collaboration, this CDT aims to tackle global challenges related to climate change and sustainability.  

Our four-year doctoral programme is training the next generation of research leaders tasked to remove greenhouse gases from the environment.  The CDT in Net²Zero focuses on the use of biomass to replace fossil fuels and removal (or capture) of CO₂ from the atmosphere, with the potential to create new sources of fuels and chemicals. The centre’s expertise covers Direct Air Capture and CO₂ Storage (DACCS), CO₂ utilisation, biochar synthesis and utilisation, biomass transition to materials and chemicals, and biomass to energy with carbon capture and storage (BECCS) etc. 

Training and Development 

Through our research training programme, you will be able to: 

• Develop a network with doctoral researchers, academia, government and industry. 
• Access to cutting-edge facilities and opportunities for international collaboration, preparing you for a successful career in academia, industry, or policymaking. 
• Carry out a training programme covering practical engineering, communication, entrepreneurship, and business skills to prepare students for diverse sectors. 
• The CDT facilitates direct contact between students, industrial partners, policy makers, and third sector organisations to support future careers. You will have the opportunity of a three-month placement with industry, research collaborators or policymakers. 

Project Overview and Background  

Oxy-fuel combustion, where fuels are combusted in pure oxygen or a mixture of oxygen and flue gas (CO₂), produce a flue gas with a high concentration of CO₂ that allows easier sequestration without energy-intensive preprocessing. However, production of oxygen is an energy-intensive process. Industrial scale oxygen production today is still based on the conventional cryogenic distillation process developed around 1900. 

Mixed ionic-electronic conductors (MIECs) that display high oxide ion conductivity and electronic conductivity can be made into dense ceramic membranes. Such dense MIEC ceramic membranes allow oxygen ions but not nitrogen ions to pass through. They are capable of separating oxygen from air with 100% selectivity and reduced cost and energy penalty compared to the conventional cryogenic air separation technology. Oxy-fuel combustion coupled with oxygen separation membranes can provide an energy-efficient and low-cost CO₂ capture technology for fuel-combustion-based power plants.    

A longstanding challenge is to develop MIEC membranes with both high oxygen permeability and stability under operation conditions. For example, the state-of-the-art Ba_0.5Sr_0.5Co_0.8Fe_0.2O_3-δ (BSCF) exhibits the high oxygen permeability, but it suffers from high reactivity with CO₂ and structural instability issues.  

This project aims to demonstrate the feasibility of energy efficient oxyfuel combustion of biomass enabled by oxygen separation membranes. The specific project objectives are (1) to develop high-performance and stable mixed oxide ion – electronic conductors; (2) to manufacture the conductors into ceramic tube membranes and (3) to conduct oxyfuel combustion of biomass fuels with the oxygen produced from the ceramic tube membranes.  

This project is in collaboration with additional support from Nanodot Ltd. As part of the programme, you will benefit from a comprehensive, interdisciplinary training programme and skills development, including the opportunity for an industrial placement with Nanodot Ltd. 

Person Specification 

 Essential: 

• Ideal candidates should hold or expect to gain a first-class or an upper second-class honours degree (or their equivalent) or a 60% or higher weighted average MSc. 
• Knowledge of Ceramic Manufacturing 
• Experience in characterisation of: 
• Electrical properties (ionic and electronic conductivity) 
• Crystal structure and chemical composition 

Equality, Diversity and Inclusion 

Equality, Diversity and Inclusion is at the heart of the Net²Zero CDT and we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where all belong. 

We therefore particularly encourage applications from candidates who are likely to be underrepresented in a higher education setting.  These include people from Black, Asian and minority ethnic backgrounds, disabled people, LGBTQI+ people, and women. 

Financial Support 

• Four-year studentships with a tax-free stipend at UKRI rate (£21,383 per year for 2026/27)  
• Paid tuition fees 
• A generous research training support grant. 

Overseas Applicants 

This opportunity is currently open for home fee status candidates only. You can find the rules for home fee eligibility here. 

How to Apply 

All applicants should first submit an Expression of Interest (EOI) form here (you only need to submit one Expression of Interest regardless of the number of projects you are interested in). Successful applicants will be invited to submit a formal application via the NottinghamHub. 

When submitting an EOI form, please include the following information: 

1. Your personal details for processing the application.  
2. A copy of your passport and, where relevant, include evidence of settled or pre-settled status. 
3. Your personal characteristics, for monitoring purposes only. 
4. Your Academic background.  We will require English language copies (or screen captures) of the transcripts and certificates for all your higher education degrees, including any Bachelor degrees. 
5. If English is not your first language, you will be required to present evidence that you meet the English Language requirements. You can submit the evidence at a later stage. the evidence at a later stage. 
6. Your research background and experience.  
7. Expressions of Interest will be assessed against the following criteria:

1. Candidate’s motivation and experience: The extent to which the candidate’s expertise, experience, and ambitions align with the goals of the Net2Zero CDT programme. 
2. If you are shortlisted, you will have the opportunity to meet the potential supervisors.

These studentships are open until filled, and hence early applications are strongly encouraged. 

Contact Information 

For general application or process enquiries, please contact: 

• Beatrix Gateb (Senior CDT Administrator for Net2Zero CDT) at beatrix.gateb1@nottingham.ac.uk  

For academic enquiries, please contact:

• Prof. Hao Liu (Co-Director of Net2Zero CDT) at liu.hao@nottingham.ac.uk  
• Prof. Eleanor Binner (Co-Director of Net2Zero CDT) at eleanor.binner@nottingham.ac.uk

Closing Date: 15 Sep 2026
Category: Studentships

About the role 

The post holders will join a highly skilled technical team providing a professional testing service for research and commercial projects. They will create and operate bespoke test stands, which could include fuel cells, thermal engines, cryostats, electrical machines and powered electronic components, working alongside each other and with the PEMC electrical technicians.

The role holders will join the team early in the development of our state-of-the-art hydrogen and cryogenic research facilities and will take a leading role in installing and commissioning test equipment and systems. It is expected that the facility’s capability will develop further and the role holders will participate in integrating new capability within the existing building. 

The roles require time and task management across the portfolio of projects to deliver campaigns in a timely manner, leading and supporting both electrical and mechanical installation, including calibration, certification and maintenance.  

About you

You will be competent in mechanical systems installations, possibly gaining experience via an apprenticeship or in a previous role. You will be self-motivated with the knowledge and experience to work independently, having good communication and team working skills enabling you to build effective working relationships with customers and colleagues. Knowledge of, and the ability to work within, relevant Health & Safety regulations is essential. 

Some knowledge of cryogenic and hydrogen systems and their associated safety implications, alongside experience of mechanical and electrical test stands would be useful, but not essential as training will be provided.

What we offer

• Opportunity to work at the forefront of hydrogen and low-temperature technologies.

• A friendly, diverse and supportive working environment
• Generous holiday entitlement of 30 days (or pro rata if applicable) plus standard bank holidays and five university closure days including closure between Christmas and New Year.
• Our reward scheme grants bonuses of numerous values for excellent work
• We are committed to staff development through the provision of training, continued support, and career progression opportunities
• You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website

What next

The post is offered as full time 36.25 hours weekly, fixed term contract until 31-Jan-2028; Job share arrangements may be considered.

Please contact Mark Pacey: mark.pacey@nottingham.ac.uk for further information. Please note applications sent directly to this email address will not be accepted.

Please apply via the ‘Apply’ button, complete your details and upload a copy of your CV.

Closing Date: 14 Jul 2026
Category: Technical (TS)

The successful candidate will support financial monitoring, data management, and project reporting, as well as assisting with student recruitment, CDT meetings and events, and engagement activities.

Candidates are expected to have excellent verbal and written communication skills, strong proficiency in IT and data literacy, and effective time management and planning abilities. A proven ability to interpret and advise on complex guidelines and policies, along with a proactive approach to problem- solving, is essential. Experience within a Higher Education environment and an understanding of marketing principles are desirable.

This is a part-time, fixed term post until 31/08/2027. Your working hours will be 21.75 hours per week.

Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details.

Please contact Gulcan Serdaroglu g.serdaroglu@nottingham.ac.uk if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted.

Closing Date: 03 Jul 2026
Category: Administrative, Professional and Managerial (APM)

Vision

We are seeking a PhD student that is motivated and passionate about the design and control of power electronics technologies that make real-world impact. Together we will make technological advances that bring compact, reliable and economical energy management.

Motivation 

This PhD project focuses on the development of next-generation power electronics in the form of Solid-State Transformers which will provide key functionality in the electricity networks of the future which will feed, for example, high power charging systems and data centres and link renewable energy sources and energy storage elements.

Aim

The aim of the project is to consider the use of modern power electronics in multi-cellular converters to form Solid State Transformer systems. This will require a study of the current state of the art in SST topologies and control before developing new techniques for both to meet the demands of new loads such as high-power EV charging systems and data centres. You will work with Dr. Alan Watson, Dr. Tabish Mir and Prof. Pat Wheeler at University of Nottingham’s Power Electronics and Machines Centre, which is a purpose-built £18M facility at Jubilee Campus. The PEMC institute is globally renowned and one of the leading research entities in its field. The work is also supported by Siemens AG, Germany and will be led at the facility in Erlangen by Dr Gopal Mondal.

Who we are looking for

We are actively looking for candidates with 

• A first-class (UK equivalent) undergraduate degree in Electrical and/or Electronics Engineering.
• A master’s degree in electrical engineering (particularly power electronics and/or electric drives) is desirable (Preferably Distinction (UK equivalent))
• Knowledge of simulation platforms like MATLAB Simulink/PLECS.
• Coding and hardware skills are desirable. 
• Strong analytical/mathematical skills.
• Passion about research and willingness to learn.
• Good presentation, communication and writing skills. 

Funding support

After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover home tuition fees and UKRI stipend plus a £5,500 a year top-up from the industrial partner)

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The Faculty of Engineering provides a thriving working environment for all PhD students (PGRs) creating a strong sense of community across research disciplines. Community and research culture is important to our PGRs and the FoE support this by working closely with our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD.

For information on application process please contact Alan Watson – alan.watson@nottingham.ac.uk

Closing Date: 20 Aug 2026
Category: Studentships

Location: Faculty of Engineering and Faculty of Science (Psychology), University of Nottingham, UK

Start Date: October 2026   

This PhD offers an exciting opportunity to explore ultrathin metamaterials: a novel type of device that utilises digital and mathematical techniques to design multifunctional visual aids to help address and correct diseases of the eye.

You will work at the intersection of mathematics, physics, AI, and clinical practice through careful design and production of optical metasurfaces, which can help to correct macular degeneration and other eyesight problems through careful control of light.

Why apply for this PhD?

• Work on the next-generation optical physics using metamaterials
• Gain a unique combination of skills in mathematics, machine learning, photonics, and clinical practices in vision.
• Be part of a multidisciplinary research team spanning science and engineering, psychology, and healthcare.
• Access state-of-the-art laboratories and cleanroom facilities.
• Gain experience by attending international conferences and training events.
• Develop skills highly valued in both academia and industry. 

Project description

Vision technology relies on careful use of optical components such as lenses. Undoubtedly, standard prescription lenses have been revolutionary in helping billions of people and their quality of life through helping to see more clearly. However, optical technologies are based on standard glass lenses and components which are bulky and have limited capabilities. 

Age-related macular degeneration (AMD) affects around 196 million people worldwide and is a leading cause of central vision loss. It reduces the ability to read, recognise faces, and perform everyday tasks, with limited treatment options available for most patients. Existing assistive technologies rely heavily on digital image processing or bulky external devices, which can be expensive, inconvenient, and inaccessible – where simple prescription lenses simply cannot address this.

This project explores a new approach using optical metasurfaces —ultra-thin optical layers that shape light—to enhance vision directly, without electronics. The aim is to increase contrast at object edges, helping users distinguish shapes and details more clearly. While edge enhancement has been shown to improve visual performance in low-vision patients, it is currently achieved using digital systems. This PhD project translates the principle into a compact, passive optical solution.

The project will combine: 

• Mathematical modelling and simulation of optical/photonic structures and devices
• Fabrication of ultrathin metasurfaces using the University of Nottingham cleanrooms
• Clinical applications through visual neuroscience approaches

Facilities and research environment:

• Photonics and visual neuroscience laboratories;
• Dedicated simulation and modelling softwares for electromagnetic and optical design;
• Access to dedicated cleanroom fabrication facilities;
• A collaborative research environment across psychology and engineering

Candidate profile

You do not need experience in all the areas below; additional training will be provided. Enthusiasm and willingness to learn are essential.

Essential:

1. A 2:1 undergraduate degree or a Master’s degree in Physics, Applied Physics, Mathematical Sciences, computer science, vision science or a closely related subject from a recognised institution.
2. A background in at least one of the following:

• Photonics/Electromagnetics theory, design and simulations
• Nanoscience
• Visual neuroscience or opthalmology

1. Programming skills (Python, MATLAB, or similar)
2. Strong analytical and problem-solving skills.
3. Good written and spoken English.

Desirable:

• Experience with photonic/electromagnetics simulation software.
• Familiarity with deep learning platforms (e.g. TensorFlow, PyTorch), Machine-learning mathematics and algorithms.
• Experience in Imaging systems (e.g. microscopy), and optical laboratory experiments (lasers/lenses)

Funding and eligibility

Open to UK, EU and international students who can provide their own funding capability. 

How to apply

Please apply online. For any enquiries about the project, email Dr Mitchell Kenney at Mitchell.kenney@nottingham.ac.uk or Prof. Paul McGraw at paul.mcgraw@nottingham.ac.uk.

Shortlisted candidates will be invited for an interview to assess their suitability.

Closing Date: 19 Aug 2026
Category: Studentships

High powered lasers are not routinely linked with the circular economy, however intelligent application of these highly controllable and flexible materials processing systems has great potential to advance the move towards a circular economy.

Two distinct aspects are expected to be included in the project, though there is scope to expand to other areas and to adjust the balance between topics depending on the candidate's specific interest and in light of results obtained during the project:

1. disassembly and reuse of end of life composite components
2. recycling of high value waste as feedstock in laser cladding

Previous work has successfully demonstrated laser cutting of carbon fibre composites, CFRP,  this project explores how this process can be exploited in end of life disassembly. The contactless nature of laser processing means that laser systems are highly flexible, different materials and component geometries are accommodated by simply reprogramming the laser path and processing parameters meaning one laser cutting system can disassemble any component geometry. The ability of the same laser to cut through both fibre reinforced composites and metal enables multi material assemblies to be processed, a key requirement.

Multiple advanced manufacturing processes make use of metallic powder based feedstocks. The materials used tend to be inherently expensive, with the need to use them in powder form further adding to that expense. This project will explore new strategies for using recycled feedstock in laser cladding. These include, but are not limited to, collection and reuse of powder, blending recycled and virgin powder, as well as repurposing of machining scrap and waste wire as feedstock, building on existing proof of concept work.

This largely experimental PhD will provide transferable materials characterisation skills, a grounding in advanced manufacturing techniques and direct experience in waste reduction and circular economy principles. This project directly benefits from our recently upgraded laser materials processing facilities as well as the universities extensive suite of materials characterisation equipment. This PhD is expected to produce a larger than average number of journal publications.

Candidate requirements 

You must be a university graduate, or be expecting to graduate, with a 2.1 (or international equivalent) and / or a masters at merit level or above in a relevant subject (engineering, physics, or materials science or closely related disciplines).

Funding

This is a self-funded PhD opportunity therefore you must secure your own funding for both fees and maintenance  either privately or via a scholarship from external/government funding bodies.

Eligibility and how to apply

Open to UK and international candidates.

This PhD project is open until filled. To apply please email Dr Katy Voisey at katy.voisey@nottingham.ac.uk attaching a cover letter, CV and academic transcripts. 

Closing Date: 19 Aug 2026
Category: Studentships

ABA cladding is a variant of laser cladding that was recently developed at The University of Nottingham. By generating clad coatings by first depositing parallel but separated "A" clads and then filling in the valleys formed with "B" clads we have already demonstrated improved material deposition efficiencies compared to conventional cladding. 

This project will expand understanding of the full potential of ABA cladding. There are many aspects that can be explored, and these can be tailored according to the specific interests of the successful candidate. Potential areas of work include:

• multi-material clads, where the A clads are formed from a different material to the B clads
• control of final surface topography
• generation of functionally graded coatings
• the inclusion of pre-placed elements
• development of a process model

This project directly benefits from our recently upgraded laser materials processing facilities as well as the universities extensive suite of materials characterisation equipment. This largely experimental PhD will provide transferable materials characterisation skills, including optical and scanning electron microscopy. The successful candidate will also learn advanced communication skills via preparing and presenting their work at both academic conferences and in journal publications. This PhD is expected to produce a larger than average number of journal publications.

Candidate requirements 

You must be a university graduate, or be expecting to graduate, with a 2.1 (or international equivalent) and / or a masters at merit level or above in a relevant subject (engineering, physics, or materials science or closely related disciplines).

Funding

This is a self-funded PhD opportunity therefore you must secure your own funding for both fees and maintenance either privately or via a scholarship from external/government funding bodies.

Eligibility and how to apply

Open to UK and international candidates.

This PhD project is open until filled. To apply please email Dr Katy Voisey at katy.voisey@nottingham.ac.uk attaching a cover letter, CV and academic transcripts. 

Closing Date: 19 Aug 2026
Category: Studentships

The increasing use of multilayer materials and mixed-fibre textiles has created significant challenges for recycling, as these materials are difficult to separate yet retain valuable functional properties such as flexibility, durability, and water resistance. As a result, large volumes are currently downcycled or sent to landfill.

This PhD addresses the lack of systematic approaches for identifying and repurposing such complex waste streams. The project will focus on understanding the relationships between material composition, structure, and residual properties, and how these can be exploited in alternative applications.

The research will combine detailed materials characterisation (e.g. microscopy, compositional and structural analysis) with the development of frameworks for classifying and matching waste materials to viable reuse pathways. In parallel, the project will explore constraints on implementation, including material variability, supply consistency, and user behaviour, incorporating insights from survey data and textual analysis.

By integrating technical and socio-economic perspectives, the project aims to develop new strategies for the valorisation of complex waste streams that are currently considered unrecyclable.

The successful candidate will gain experience in advanced materials characterisation, interdisciplinary research design, and both quantitative and qualitative data analysis, with opportunities to contribute to publications in sustainable materials and circular economy research.    

Candidate requirements 

You must be a university graduate, or be expecting to graduate, with a 2.1 (or international equivalent) and / or a masters at merit level or above in a relevant subject (engineering, physics, or materials science or closely related disciplines). The work will include consideration of public perceptions and behaviour, hence an interest in economics and/or psychology would be an advantage. The successful candidate will be expected to go out and about to directly engage with a variety of different relevant parties, making communication skills important.

Funding

This is a self-funded PhD opportunity therefore you must secure your own funding for both fees and maintenance either privately or via a scholarship from external/government funding bodies.

Eligibility and how to apply

Open to UK and international candidates.

This PhD project is open until filled. To apply please email Dr Katy Voisey at katy.voisey@nottingham.ac.uk attaching a cover letter, CV and academic transcripts. 

Closing Date: 19 Aug 2026
Category: Studentships

The research programme will use a mixture of computational, analytical and machine learning approaches to model the heat transfer to fuels and their physical and chemical behaviour, including changes in chemistry and physical properties. The interaction between fuel chemistry and physical behaviour will be investigated. If appropriate experimental analysis to provide validation data will be acquired as part of the PhD, although where possible validation data will be taken from industrial and openly available literature.  The successful candidate will gain experience in computational, analytical and experimental approaches across mechanical and chemical engineering, applied in an aerospace industry context.

The successful candidate will be based in the Mechanical and Aerospace Systems research group (previously known as G2TRC) within the Faculty of Engineering and will be part of a supportive team of 50 researchers, technicians, support staff and academics. The group has a dynamic research culture with a programme of seminars, writing and social events, with a research office hub providing a quiet working environment with social and meeting spaces.

We are looking for an enthusiastic and self-motivated person with a rigorous approach to research. Applicants should have or be expected to gain a high 2:1, preferably a 1st class honours degree in Chemical or Mechanical or Aerospace Engineering or Chemistry or Computer Science a related degree. A good knowledge and/or experience in heat transfer is essential, as is the ability to work well in a team. Prior experience in the areas of computational fluid dynamics, chemistry, machine learning or computational heat transfer will be an advantage.

The successful applicant would be expected to spend part of the PhD period based in Bristol at the Airbus site and will receive supervision support and training from both the University and Airbus.  This research will support the path to net zero flights and there may be opportunities to become involved in practical aspects of fuel system design and testing during the PhD.

The PhD studentship will cover fees and tax free stipend of £24,000 p.a. for 4 years. Due to funding restrictions this studentship is only available to UK (home fees) citizens.  

Informal enquiries may be addressed to Prof. Carol Eastwick, carol.eastwick@nottingham.ac.uk 

Interested in this studentship? Applications with a CV, cover letter and academic transcripts should be sent to hadrian.moran@nottingham.ac.uk 

Suitable applicants will be interviewed, and if successful, invited to make a formal application. 

Closing Date: 31 Jul 2026
Category: Studentships

Applications are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid Dynamics (CFD). This is an exciting opportunity to contribute to cutting-edge research that supports the next generation of  sustainable aeroengines.

The successful candidate will join a supportive team of 50 researchers, technicians and academics within the Mechanical and Aerospace Systems Research Group, and will have the opportunity to apply their research during a placement within Rolls Royce.

Project Overview

The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower-order predictive models. The student will gain hands-on experience in industrial applications, including practical aspects of aeroengine oil system design, spending part of their PhD based on-site at Rolls-Royce as well as receiving joint supervision and training from both the University and industry professionals.

Candidate Requirements

We are seeking an enthusiastic, self-motivated researcher with a rigorous approach to problem-solving. Applicants should have, or be expected to gain, a high 2:1 (preferably 1st class) honours degree in Mechanical or Aerospace Engineering, or a related discipline with substantial background in fluid mechanics.

Essential skills:

• Strong knowledge of numerical methods
• Ability to work effectively in a team

Desirable skills / experience:

• Experience of applying CFD to a complex problem
• Knowledge of multiphase flows
• Experience with machine learning techniques

Funding

This studentship covers UK home tuition fees and provides a tax-free stipend of up to £25,000 per year for 4 years. Please note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens.

Start date – 1 October 2026

Application Process

Informal enquiries may be addressed to:
Dr Stephen Ambrose – Stephen.Ambrose3@nottingham.ac.uk  or

Dr Chris Ellis – Chris.Ellis@nottingham.ac.uk

Interested candidates should submit the following documents:

• Curriculum Vitae (CV)
• Cover letter
• Academic transcripts

Applications should be sent to IAT@nottingham.ac.uk

Candidates will be interviewed at the earliest possible convenience, and the position will close once a suitable candidate is found

Closing Date: 24 Jul 2026
Category: Studentships

Start date: 1 October 2026

Application deadline: 24/07/2026

Project type: Collaborative PhD studentship (joint Academic-Industry)

Industrial partner: BAE Systems plc       

Academic supervisor: Dr Sendy Phang, Dr. George Gordon and Dr Alexander Turner 

Industry supervisor: Dr Hassan Zaidi

We are seeking a Ph.D. student to develop next-generation AI systems for real-time 3D mapping on compact, low-power devices. The project will combine optical sensing, event-based vision, and radio-frequency (RF) data with advanced AI to build robust mapping systems for challenging environments, including poor visibility and GPS-denied settings.

This is a joint project with BAE Systems plc, offering access to industrially relevant datasets, equipment, and evaluation scenarios alongside academic research training. It would suit candidates interested in careers in academia or industry, especially in AI, sensing, autonomy, robotics, or embedded systems.

Background

Accurate 3D mapping is increasingly important for autonomy, navigation, inspection, and situational awareness across defence and other safety-critical applications. Yet many real-world deployments cannot depend on cloud computing or high-bandwidth communications. Instead, sensing and AI inference must operate directly at the edge, under tight constraints on power, bandwidth, and compute. This studentship addresses that challenge by developing a multimodal sensing and inference framework that can run on compact AI edge hardware while remaining reliable in complex, contested, or visually degraded environments.

Aim

You will design, build, and evaluate a hardware-aware AI framework for cognitive 3D mapping. The work will bring together three complementary sensing streams:

• structured illumination for active optical depth recovery and high-precision 3D sensing;
• event-based vision for low-latency, high-dynamic-range perception with reduced data rates;
• RF sensing and localisation, spanning radar-style observables and passive RF localisation using software-defined radio.

A central theme of the project is co-design across sensing, AI reconstruction, and embedded deployment. You will explore how multimodal models can generate consistent 3D scene representations with quantified uncertainty, and how these can be deployed efficiently on edge accelerators such as NVIDIA Jetson, Edge TPU, or neuromorphic hardware.

What we offer

Joining our team means gaining access to exceptional resources and opportunities to develop you into a leading researcher:

• A world-class research environment spanning research environment, spanning sensing, nanotechnology, AI, and clinical medicine
• A supportive and inclusive research culture, underpinned by the Researcher Development Concordat (http://www.vitae.ac.uk/policy/concordat).
• Close technical supervision from both academic and industrial partners to work on a real-world industry problem
• Excellent opportunities to publish in leading journals and conferences, and to present your work internationally and travel to conferences.
• Four years of funding, including tuition fees and stipend at the standard rate for eligible UK students.
• Consumables budget for purchasing state-of-the-art edge AI compute units and sensors.
• A project environment well suited to students interested in careers in academia, advanced R&D, or industry innovation.

What you should have

We are seeking a motivated candidate with the enthusiasm and technical foundation to contribute to ambitious interdisciplinary research. You should ideally have:

• A first-class or upper second-class degree, or a master’s degree, in Engineering, Computer Science, Physics, Mathematics, Robotics, or a related discipline.
• A strong interest in one or more of the following areas: AI and machine learning, computer vision, signal processing, sensing, robotics, or embedded systems.
• Programming experience in at least one language such as Python, MATLAB, or C/C++.
• Strong analytical, quantitative, and problem-solving skills.
• The ability to work effectively both independently and as part of a multidisciplinary academic–industry team.
• Eligibility for Home fee status.

Project environment

The project will be based in the Faculty of Engineering at the University of Nottingham, with Dr. Sendy Phang and Dr. George Gordon as the academic supervisors. The student will benefit from a research culture that combines hands-on systems development with advanced AI methods, alongside co-supervision and strategic input from BAE Systems through industry supervisor Dr Hassan Zaidi.

How to apply

Start date: 1 October 2026. For informal enquiries and details on how to apply, please contact Dr Sendy Phang at sendy.phang@nottingham.ac.uk with your CV, a cover letter outlining your research interests and motivation to do this PhD project, and all academic transcripts and any publications.

Closing Date: 24 Jul 2026
Category: Studentships

Funded by the Nuclear Decommissioning Authority, we endeavour to make technological advances with real national impact.

The UK holds significant volumes of nuclear graphite waste, and disposal options are currently limited pending the Geological Disposal Facility (GDF) opening after 2050. New technologies are needed to manage graphite – a key enabler for the dismantling of the first and second generation of UK Nuclear Reactors. Applied smouldering offers a promising solution to reduce the amount of material destined for the GDF: it is energy‑efficient, cost‑effective, and well‑suited to low‑volatility carbon‑based materials.

You will design and conduct laboratory experiments to assess graphite smoulderability, develop physics-based models to predict scalability, and perform techno‑economic analyses and life‑cycle assessments using machine-learning tools. This project will prepare you for starting a career in nuclear decommissioning or applying emerging technological and modelling approaches to facilitate circular economy innovation in the energy transition.

You will work closely with Tarek Rashwan, Oliver Fisher and Rachel L Gomes based in  the Food Water Waste Research Group in the Faculty of Engineering, which leads research in circular economy innovations. You will also liaise extensively with Nuclear Restoration Services, including a multi-month internship, and the Nuclear Decommissioning Authority alongside a broader team of UK academics and industry partners from Canada addressing challenges with nuclear graphite.

Candidate requirements 

Essential:

• 1^st or 2:1 in Engineering or a science-related discipline.
• Strong analytical and problem‑solving skills.

• Enthusiastic, self-motivated, resourceful, and strong willingness to learn.

Desirable:

Previous experimental and/or modelling experience with thermal treatment or combustion/smouldering is an advantage. Full research training will be provided.

Eligibility and funding 

This studentship is open to UK/home and international candidates. For funding reasons, we are particularly looking for UK applicants

PhD start date: October 2026

How to apply

Application deadline: June 1, 2026

To apply, please email your CV and supporting statement explaining your suitability for this PhD position and why you are interested to Dr Tarek Rashwan at tarek.rashwan@nottingham.ac.uk

The University of Nottingham actively supports equality, diversity and inclusion and encourages applications from all sections of society. We - the Faculty of Engineering - provide a thriving working environment for all our postgraduate researchers (PGRs) creating a strong sense of community across research disciplines. We understand that research culture is important to our PGRs so we work closely with our Postgraduate Engineering Society and PGR research group representatives to support and enhance the postgraduate research environment.

As a PGR at the University of Nottingham you will benefit from training through our Researcher Academy’s training programme. Based within the Faculty of Engineering you will have additional access to courses developed specifically for our engineering and architecture PGRs including sessions on how to write a paper, communicating your research, and research integrity. 

We offer dedicated postgraduate study spaces, have outstanding research facilities and work in partnership with leading industrial partners.

Closing Date: 31 Jul 2026
Category: Studentships

Start Date: 1 October 2026   

This PhD offers an exciting opportunity to explore reservoir computing, a new approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently.

You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems work — and how to design better ones. 

Why apply for this PhD?

• Work on the next-generation AI hardware beyond traditional computing architectures. 
• Gain a unique combination of skills in mathematics, machine learning, and photonics.
• Be part of a multidisciplinary research team spanning science and engineering.
• Access state-of-the-art laboratories and high-performance computing facilities. 

• Gain experience by attending international conferences and training events.
• Develop skills highly valued in both academia and industry.

Project description

Modern AI computing systems require large amounts of energy and computational power. Reservoir computing offers a promising alternative by using complex physical systems to perform tasks such as prediction, classification, and signal processing.

However, one major challenge remains: We still do not fully understand what makes a reservoir computing system perform well.

This PhD project aims to answer this question.

You will develop a unified mathematical theory and framework to study and explain how different reservoir systems work and how to design them for specific tasks. The project will combine:

1. Mathematical modelling of dynamical systems;
2. Computational photonics simulations;
3. Comparison with real physical systems (especially photonic systems using light).

Facilities and research environment:

1. High-performance computing facilities;
2. Photonics and electromagnetics laboratories;
3. Experimental platforms for optical (light-based) computing;
4. A collaborative research environment across mathematics and engineering.

Candidate profile

You do not need experience in all the areas below; additional training will be provided. Enthusiasm and willingness to learn are essential.

Essential:

1. A first-class undergraduate degree or a master’s degree in Physics, Applied Physics, Electrical and Electronic Engineering, Mathematical Sciences, or a closely related subject from a recognised institution.
2. A background in at least one of the following:
3. Dynamical systems
4. Photonics/Electromagnetics theory, design and simulations
5. Machine learning mathematics and algorithms
6. Numerical methods
7. Programming skills (Python, MATLAB, or similar)
8. Strong analytical and problem-solving skills.
9. Good written and spoken English.

Desirable:

• Experience with photonic/electromagnetics design software.
• Familiarity with deep learning platforms (e.g. TensorFlow, PyTorch).

Funding and eligibility

The project is fully funded by DSTL, due to funding requirement this studentship is only available for UK (home) candidates.

An UKRI rate studentship is available for this project, covering home tuition fees plus a tax-free stipend. 

How to apply

Send the following documents to sendy.phang@nottingham.ac.uk

1. CV
2. Cover letter explaining your research interests, relevant skills and experience, and why you are interested in this PhD project
3. Academic transcripts (for both undergraduate and postgraduate degrees, if applicable)
4. Copies of any publications (if applicable) 

Please use “PhD-RC-Framework application – [Your Full Name]” as email subject matter.

Shortlisted candidates will be invited for an interview to assess their suitability. 

Supervisors:

Professor Gregor Tanner – School of Mathematical Sciences, gregor.tanner@nottingham.ac.uk 

Dr Sendy Phang – Faculty of Engineering, sendy.phang@nottingham.ac.uk

Closing Date: 22 Jul 2026
Category: Studentships

Enhanced Stipend PhD Studentship (UK) funded by the UK government

Thermally Sprayed Coatings for ablation and high heat flux conditions

Background

UK applicants are invited to undertake a 3-4 year, fully-funded PhD studentship (fees and enhanced stipend) within the Centre of Excellence in Coatings and Surface Engineering (CE-CSE) at the University of Nottingham, funded by the UK government. There is a critical need to develop materials and coatings that can withstand ultra-high temperature (UHT) conditions while maintaining structural integrity and functional performance. 

The PhD Project

This exciting research project is actively seeking ultra-high temperature (UHT) ceramic materials capable of surviving short-duration exposure (on the order of seconds to minutes) under extreme conditions. These environments are characterised by temperatures up to 3000 K, pressures up to 10 MPa, mass fluxes up to 6500 kg/m²·s (including particulate fluxes up to 300 kg/m²·s), gas velocities up to 1000 m/s, and heat transfer coefficients up to 35,000 W/m²·K. Under such conditions, conventional ceramic materials undergo rapid degradation through oxidation, particulate erosion, thermal shock, and phase instability, significantly limiting their performance and service life.

This PhD project will focus on the design and development of UHT ceramics in the form of coatings, ablation and high-heat-flux testing rigs, and characterisation using secondary electron imaging, X-ray diffractometry, electron backscattered diffraction, transmission electron microscopy, and Raman spectroscopy. This is a hugely exciting project for an enthusiastic researcher who wishes to forge an academic or industry career in the materials sector. 

Qualification:

This position will only cover home/UK tuition fees. The candidate must have at least an equivalent of a UK 2.1 class degree in materials/mechanical/chemical/physics/chemistry, or any related discipline. This is an experimental research project, and the candidate is expected to spend the majority of the time at the University of Nottingham.

Funding: 

The PhD studentship will cover full home/UK University tuition fees and a tax-free stipend of up to £27 k per annum for the duration of the project. 

Applications, with a detailed CV and a cover letter, together with the names and addresses of two referees, should be sent directly to Prof. Tanvir Hussain (tanvir.hussain@nottingham.ac.uk).  

Closing date: Until Filled

Closing Date: 15 Jul 2026
Category: Studentships

This exciting opportunity is based within the Buildings, Energy and Environment (BEE) Research Group in the Faculty of Engineering. The BEE Research Group conducts cutting-edge research into low-energy buildings, building performance, retrofit and decarbonisation, indoor environmental quality, and climate-resilient design, providing a strong interdisciplinary environment for doctoral research.

Vision

This project aims to transform the UK school estate by developing evidence-based, climate-resilient retrofit strategies that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the creation of future-ready schools that protect children’s wellbeing while contributing to national net-zero and climate adaptation goals.

Motivation

This project is aimed at a highly motivated PhD student with an interest in sustainable buildings, retrofit, and environmental performance, who is keen to work with real buildings, performance data, and applied research challenges. The successful candidate will be curious, analytical, and motivated to tackle real-world problems at the intersection of energy, health, and climate resilience.

The research will make a significant societal and environmental impact by addressing one of the most under-researched yet socially critical building types in the UK: schools. Many UK schools suffer from poor energy performance, overheating, inadequate ventilation, and moisture risks, directly affecting children’s health, wellbeing, and learning outcomes. This PhD will develop evidence-based, Passive House–informed retrofit strategies tailored to diverse school typologies, supporting healthier indoor environments, reduced carbon emissions, and long-term resilience. The outcomes will provide practical guidance for designers, policymakers, and school estate managers, contributing to the Net Zero Schools agenda and improving everyday learning environments for future generations.

Aim

You will have the opportunity to develop an evidence-based, Passive House–informed retrofit framework for UK school buildings, focusing on energy efficiency, indoor environmental quality, and climate resilience. You will gain hands-on experience in building performance evaluation, hygrothermal analysis, whole-life carbon assessment, and in-situ environmental monitoring, working with real school buildings and measured datasets. The research aims to deliver practical, scalable retrofit solutions that support healthier learning environments and national net-zero ambitions.

You will work with an experienced and supportive supervisory team within the Buildings, Energy and Environment (BEE) Research Group in the Faculty of Engineering. The project will be led by Dr Sara Mohamed, with co-supervision from academic colleagues within the BEE Research Group. You will also engage with advanced research facilities, real building datasets, and—where appropriate—industry partners and external stakeholders, developing skills relevant to both academic and professional practice.

 Who we are looking for

We are seeking an enthusiastic, self-motivated, and resourceful PhD candidate with a strong interest in sustainable buildings, retrofit, and environmental performance. The successful applicant will be motivated to address real-world challenges related to energy efficiency, indoor environmental quality, and climate resilience, particularly in educational buildings.

Who We Are Looking For

We are seeking an enthusiastic, self-motivated, and resourceful PhD candidate with a strong interest in sustainable buildings, retrofit, and environmental performance. The successful applicant will be motivated to address real-world challenges related to energy efficiency, indoor environmental quality, and climate resilience, particularly in educational buildings.

Essential Competences

The ideal candidate will demonstrate:

• Excellent verbal and written communication skills
• A high level of independence and self-motivation
• An analytical mindset with strong problem-solving abilities
• Strong organisational and time-management skills
• Ability to work effectively both independently and within a research team

Desirable Competences

The prospective candidate may also have:

• A background in architecture or interdisciplinary built-environment fields
• Experience in sustainable architecture or building physics
• A strong interest in retrofit research
• Confidence in using quantitative methods, including environmental monitoring and performance evaluation
• Experience or interest in dynamic building performance analysis
• Ability to collaborate and engage with a range of stakeholders, including academic, industry, and user groups
• Strong analytical skills and the ability to handle data confidently and ethically

Entry Requirements

A first-class or 2:1 undergraduate degree (or equivalent) in Architecture, Architectural Engineering, Building Services Engineering, Environmental Engineering, or a related field.

A relevant Master’s degree, or equivalent professional experience, in sustainable design, building physics, energy modelling, or environmental performance is highly desirable.

Funding Support and Research Environment

After a suitable candidate is identified, funding will be sought from the University of Nottingham as part of a competitive process, covering home tuition fees and a UKRI doctoral stipend.

The University of Nottingham actively supports Equality, Diversity, and Inclusion and encourages applications from all sections of society. The Faculty of Engineering provides a thriving research environment for postgraduate researchers, fostering a strong sense of community across disciplines. PGRs benefit from training through the Researcher Academy Training Programme, including bespoke courses for Engineering researchers on academic writing, networking, and career development. The faculty also offers outstanding facilities and maintains strong partnerships with leading industrial collaborators.

Funding support

After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover home tuition fees and UKRI stipend).

The University actively supports equality, diversity and inclusion and encourages from all sections of society.

The Faculty of Engineering provides a thriving working environment for all PGRs creating a strong sense of community across research disciplines. Community and research culture is important to our PGRs and the FoE support this by working closely with our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners. 

Please contact Sara Mohamed with your CV and supporting statement to apply for this project - sara.mohamed3@nottingham.ac.uk

Closing Date: 02 Feb 2026
Category: Studentships

This exciting opportunity is based within the thriving Optics and Photonics Research Group in Faculty of Engineering which conducts cutting edge research spanning exploration to translation, with curiosity driven projects all the way through to application in the clinic.   

Vision

We are seeking PhD student that is motivated and enthusiastic and keen to push the boundaries of what is currently possible when imaging with an optical microscope. Combing the latest in optical developments with the recent surge in AI, this project aims image the centre of a live intact root for the first time. Something that is currently not possible.

Motivation 

This project will address a long-standing issue in plant biology: the inability to image the centre of live, intact, plant roots. The ability to observe dynamic cellular processes at the centre of a live root for the first time will unlock entirely new lines of biological inquiry, crucial for areas such as sustainable agriculture and food security. Such an imaging system would allow for studies of a plant’s resilience to drought, salinity, and water logging, as well as responses to fungal infections and nanoparticle uptake. It is very common that new optical microscopy techniques are developed to image mammalian tissue, and that these approaches are very slow to translate across to plant biosciences where the impact could be huge and as a result exciting opportunities get missed.  

When we use light to image deep into complex samples there is a common problem that occurs – the light gets distorted and scattered by the structures present in the sample and as a result a nice quality focus and hence a nice image cannot be produced at depth into the sample. At Nottingham we have been working on this problem for several years and have developed methods that shape the incoming light with the equal but opposite distortion to that imposed by the sample to produce a high-quality image deep into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process.

This PhD project will take the latest in AI-informed wavefront correction techniques and tailor them to imaging deep into plant roots. It will use a range of state-of-the-art optical microscopes based in the Optics and Photonics Research Group in the Faculty of Engineering, plus those housed in Plant Biosciences at the Sutton Bonnington campus. Data sets will be generated using simulated and experimental data and these will be used to train networks to predict the common distortions that occur when imaging into plant roots. From here we can either correct for these distortions using the hardware in the microscope or in software using reconstruction algorithms. This is an exciting multidisciplinary PhD project that promises to make cutting-edge advances in all research areas involved.

Aim

This project combines practical hands-on optics experimentation with training neural networks to develop the next generation of optical microscopes. You will have the opportunity gain skills in optical instrumentation and imaging, AI and machine learning, and in plant biology and sample handling.

Your base will be in the Optics and Photonics Group in the Faculty of Engineering and from here you will work with a team of academics and researchers across Engineering, Computer Science and the Biosciences.

You will be supervised by Amanda Wright (Optics and Photonics Research Group, Faculty of Engineering), Mike Somekh (Optics and Photonics Research Group, Faculty of Engineering), Mike Pound (Computer Vision, Computer Science Department), and Darren Wells (Plant and Crop Biophysics, School of Biosciences).

Who we are looking for

An enthusiastic, self-motivated, resourceful student, who likes working as part of a team and is keen to take on a new challenge. An understanding of optics and/or machine learning is desirable but not essential, along with general coding skills.

1^st or a 2:1 in a relevant field (for example Physics, Electrical and Electronic Engineering, Computer Science, or Biosciences).

Funding support

After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover home tuition fees and UKRI stipend)

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The Faculty of Engineering provides a thriving working environment for all PGRs creating a strong sense of community across research disciplines. Community and research culture is important to our PGRs and the FoE support this by working closely with our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners. 

Please contact Amanda Wright with your CV and supporting statement to apply for this project – amanda.wright@nottingham.ac.uk 

Closing Date: 02 Feb 2026
Category: Studentships