We are seeking to appoint a Lecturer (Grade 8) or Associate Professor (Grade 9) who will contribute to the School of Computer Science’s academic mission through research, teaching, and academic citizenship. We invite applications from those whose research would ideally bring advanced knowledge into our graduate teaching in High Performance Graphics & Games Engineering, which covers rendering, real-time rendering, modelling, animation, simulation, game engine development and foundational mathematics. Research in areas such as shape modelling, geometric and topological modelling, animation, motion processing, or procedural generation would therefore be of particular interest, but any area of Computer Graphics is of interest.

This role offers the opportunity to develop and sustain a high‑quality, internationally recognised research programme aligned with the School’s strategic priorities, including active engagement in collaborative, interdisciplinary, and externally funded research.

You will deliver research‑informed teaching across undergraduate and postgraduate programmes, contributing to curriculum design, innovation, and enhancement. You will play a key role in fostering an inclusive, engaging, and high‑quality student experience, and will support the academic and professional development of students and early‑career researchers through effective supervision and mentoring.

In addition, you will contribute to the effective and collegial operation of the School through administrative and service activities, working collaboratively with colleagues and supporting the University’s commitment to excellence, equity, diversity, and inclusion. The role may also include teaching or academic engagement in support of the School’s transnational education activities, including overseas teaching for up to six weeks in an academic year.

What we offer in return

• 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme plus life assurance– the University contributes 14.5% of salary
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
• Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more! 

To explore the post further or for any queries you may have, please contact: 

Gordon Love, Head of School 

g.d.love@leeds.ac.uk

Closing Date: 07 Oct 2026

Section: Academic

Salary: £51,753 to £73,708 p.a.

Do you have a commitment and passion for first class nurse education? Can you promote inclusion in the learning environment?

The University of Leeds is one of the top 135 universities in the world.  We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities.  Established in 1904, we have a strong tradition of academic excellence, reflected in first-class student education, along with world-leading research that has a real impact around the globe.  

The School of Healthcare’s vision is that: ‘We will translate excellence in research and scholarship, within each of our academic portfolios, into an exceptional student experience, and make a major impact upon society’.  

As a Lecturer in Mental Health Nursing, you will have the opportunity to contribute to our teaching portfolio working primarily on the undergraduate BSc (Hons) Mental Health programme which focus on the theoretical and clinical elements that underpin the fundamentals of nursing practice. You will also have the opportunity to teach on and assess students studying postgraduate modules and programmes.  

You will have a Masters’ degree in a related discipline and some recent experience of teaching students and / or professional groups. You will also have current registration on the NMC Professional Register with some post qualifying clinical experience. 

What we offer in return: 

26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!  Pro-rated for part time. 

Generous pension scheme plus life assurance– the University contributes 14.5% of salary 

Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. 

Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more. 

All FMH staff are entitled to 10 days staff development per year (pro rated).  Please speak to your line manager about how you can utilise this. 

Access to on-site childcare, shopping discounts and travel schemes are also available. 

And much more!   

If you are looking for a role that will challenge and reward you, please apply today. 

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit:?www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent

Visa Eligibility  

- Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent

To explore the post further or for any queries you may have, please contact:

Netalie Shloim, Academic Unit Director-Nursing

N.shloim@leeds.ac.uk

Closing Date: 24 Sep 2026

Section: Academic

Salary: £41,064 to £48,822 per annum

School of Healthcare

This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner.  We are also open to discussing flexible working arrangements. 

Do you have a commitment and passion for first class nurse education? Can you promote inclusion in the learning environment?  

The School of Healthcare’s vision is that: ‘We will translate excellence in research and scholarship, within each of our academic portfolios, into an exceptional student experience, and make a major impact upon society. 

As a Lecturer in nursing, you will have the opportunity to contribute to our teaching portfolio working primarily on the undergraduate BSc (Hons) Nursing Adult, Mental Health Nursing and Child programmes which focus on the theoretical and clinical elements that underpin the fundamentals of nursing practice.  You will also have the opportunity to teach on and assess students studying postgraduate modules and programmes. You will have a Masters’ degree in a related discipline and some recent experience of teaching students and / or professional groups. You will also have current registration on the NMC Professional Register with some post qualifying clinical experience. 

What we offer in return

26 days' holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – that’s 42 days a year!(pro-rata)

Generous pension scheme plus life assurance– the University contributes 21.6% of salary

Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls

Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and more

All FMH staff are entitled to ten days' staff development per year (pro rata). Please speak to your Line Manager about how you can utilise these

Access to on-site childcare, shopping discounts and travel schemes are also available

And much more!  

If you are looking for a role that will challenge and reward you, please apply today. 

To explore the post further or for any queries you may have, please contact:

Netalie Shloim, Academic Unit Director-Nursing

N.shloim@leeds.ac.uk  

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent

Closing Date: 14 Sep 2026

Section: Academic

Salary: £41,064 to £48,822 per annum pro-rata

As Lecturer, you will be joining the Analytics, Technology and Operations Department (ATOD) within Leeds University Business School. You will have the opportunity to be a member of the Research Centres operating within the ATOD Department, including the Centre for Decision Research (CDR) and the Technology, Operations and Supply Chain Analysis research centre (TOSCA), as well as other rich research communities in LUBS.  You will carry out research, teaching and management within and contribute to academic leadership in the field of business with specific emphasis on Digital Transformation and AI for Business.

This is an exciting opportunity to become a part of a very successful teaching and research team in our growing Business School here at the University of Leeds.

We are seeking individuals who can deliver research-led teaching in a wide range of topics related to Digital Transformation and AI for Business, including on our:

•    MSc Management of Information Systems and Digital Innovation (MISDI);

•    MSc AI for Business (newly introduced);

•    BSc Business and Intelligent Technologies (newly introduced).

There are opportunities to teach in many areas related to Digital Transformation and AI for Business, among which: Digital change / innovation and transformation; Global Operations and Information Management, Managing Digital Business, Digital Information and Social Media, Innovation in Operations and Information Systems, Advanced Intelligent Technologies for Business (Digital Twinning, Blockchain, IoT and AI), Interpretable Machine Learning and Explainable AI.

What we offer in return

•    26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!

•    Generous pension scheme plus life assurance– the University contributes 14.5% of salary

•    Health and Wellbeing: A dedicated Staff Wellbeing Hub hosting staff clubs, events and support services, including discounted staff membership at our state-of-the-art Campus gym, The Edge and a 24/7 Employee Assistance programme.

•    Personal Development: Access to courses run by our Organisational Development & Professional Learning team.

•    Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!  

To explore the post further or for any queries you may have, please contact: 

Professor Antonino Sgalambro, 

Head of Analytics, Technology and Operations Department 

Email: A.Sgalambro@leeds.ac.uk

Dr Nicky Bown

Departmental Director of Student Education, 

Analytics, Technology and Operations Department

Email: n.j.bown@lubs.leeds.ac.uk

Closing Date: 14 Sep 2026

Section: Academic

Salary: £51,753 to £59,966 per annum

This role is only open to internal applicants employed at the University of Leeds holding at grade 9 or 10.

Do you have a vision for the future direction of interdisciplinary data science and artificial intelligence research at the University of Leeds? Do you have senior leadership experience to develop and implement this vision?

We are particularly encouraging female and Global Majority candidates to apply for this post as part of LIDA’s strategic commitment to addressing underrepresentation of these groups in senior leadership roles in LIDA and in STEM leadership more broadly.

Background to LIDA

LIDA’s vision is to generate societal impact and improve global wellbeing and prosperity through internationally outstanding research, education and training, in interdisciplinary data science and artificial intelligence (AI). To achieve this, LIDA aims to build upon existing strengths across the University so that:
·       UoL’s Data Science and AI ecosystem is more than the sum of its parts
·       UoL offers a coherent and distinct proposition in data science and AI to compete nationally and internationally.
·       UoL provides a home for capacity building and the development of future leaders in the field.

LIDA’s strategic research priorities, as detailed in our latest 5-year strategy https://lida.leeds.ac.uk/our-strategy-2024-29/ are to:
·       Produce world-class cross disciplinary research
·       Diversify & increase data science & AI research income
·       Deliver impactful research & innovation
·       Develop, support & retain an inclusive research community.

To date, in the current Research Excellence Framework (REF2029) period, LIDA’s research portfolio comprises 131 projects supported by £127 million of external awards from 43 funders. Our projects involve 340 PIs/COIs from 69 schools/institutes across all seven Faculties at the University of Leeds. Two thirds of the projects are interdisciplinary.

Our current live portfolio of data analytics research and innovation project portfolio is worth over £90 million, driven by LIDA’s research Communities focused on Health; Food; Artificial Intelligence; Data Visualisation; Immersive Technologies; and Data Science Infrastructures. You can find more about them here: https://lida.leeds.ac.uk/communities-programmes/

Contact information
To explore the post further or for any queries you may have, please contact:

Professor Chris P Gale
Email: c.p.gale@leeds.ac.uk

Professor Susan Grant Muller
Email: S.M.Grant-Muller@its.leeds.ac.uk

Closing Date: 13 Sep 2026

Section: Academic

Salary: £75,912 to £85,413 p.a. pro rata