The work is spread across four work packages (WPs). Each WP contains a wide variety of tasks that will provide you with a unique experience of working with the low-level numerical software and mathematical hardware, as well as understand mathematics that underpin that software and hardware. As examples, it will involve creating models of mathematical hardware available in literature by utilizing custom-precision simulators, as well as designing high-level software wrappers that can manage low-level code targeted at an array of diverse hardware devices: from NVIDIA and AMD datacentre GPUs to Intel Ponte Vecchio accelerators.

The project is led by Dr Mantas Mikaitis and you will work closely with him in designing algorithms and software, preparing publications for high-visibility journals and conferences, organising minisymposiums with invited speakers, writing technical blog posts, presenting research at national and international conferences as well as internally at the School of Computing, working with international project partners and industrial partners, maintaining academic collaborations through regular meetings and exchange of knowledge, and working with undergraduate, MSc, and PhD students where required.

You will be in the Computational Science & Engineering research theme of the School of Computing and become a member of the Scientific Computing research group of academics, PDRAs and post-graduate researchers working on a wide array of topics, including partial-differential equations for fluid dynamics, numerical linear algebra, scientific machine learning, computer arithmetic, numerical analysis, algorithm design, software and hardware benchmarking and performance optimization, and hardware design and analysis. You will become a member of a new informal group Leeds Mathematical Hardware and Software Lab.

We are looking for Social Care Research and Development Fellows aligned with our world-leading research. The School of Healthcare is investing in its research capacity and capability, recruiting one Senior Fellow and two Fellows. The School of Healthcare leads Leeds’ contribution to the NIHR School for Social Care Research (Phase IV) and NICHE-Leeds (a partnership between science and care in the city). The posts will help us develop our research into Ageing Well and Quality and Safety. You will work with world-leading researchers, furthering our aims of impactful applied research of the highest quality, making a positive difference to society. You will work closely with colleagues in our research teams in the School and will join our teams to deliver our ambitious social care research portfolio.

Our portfolio focuses on questions that matter for social care and that will enhance quality of life and care for people accessing care, and/or quality of work for staff employed in the sector. Our areas of research include: technologies to enhance care and outcomes, quality and safety; the role of data and information in providing better care; supporting personal care (e.g. mouth care); social care workforce. Our methods range from working with big data; social network analysis; qualitative and mixed methods studies; and complex intervention development and evaluation. We don’t just “do research”; a key part of our work is developing capacity and skills and mobilising knowledge – working with the right people (people accessing social care, their families, care staff, providers, commissioners) to make a difference in practice and policy. We will expect you to be willing to work with our range of partners and be flexible in the approaches you use.  

Primarily focussing on research, you will be a key member of our School. Working closely with academic colleagues, you will help lead and deliver existing research. Our work is shaping health and social care practice and policy and developing methodology and science in social care.  You will have a key role in grant writing, ensuring we continue to lead research in this field through sustained income generation. 

We are looking for a Research Fellow (Social Care Research and Development) aligned with our world-leading research. The School of Healthcare is investing in its research capacity and capability, to work with world-leading researchers, furthering our aims of impactful applied research of the highest quality, making a positive difference to society. The School of Healthcare leads Leeds’ contribution to the NIHR School for Social Care Research (Phase IV) and NICHE-Leeds (a partnership between science and care in the city). You will work closely with colleagues in our research teams in the School and will join our teams to deliver our ambitious social care research portfolio.

Our portfolio focuses on questions that matter for social care and that will enhance quality of life and care for people accessing care, and/or quality of work for staff employed in the sector. Our areas of research include: technologies to enhance care and outcomes, quality and safety; the role of data and information in providing better care; supporting personal care (e.g. mouth care); social care workforce. Our methods range from working with big data; social network analysis; qualitative and mixed methods studies; and complex intervention development and evaluation. We don’t just “do research”; a key part of our work is developing capacity and skills and mobilising knowledge – working with the right people (people accessing social care, their families, care staff, providers, commissioners) to make a difference in practice and policy. We will expect you to be willing to work with our range of partners and be flexible in the approaches you use.  

Primarily focussing on research and research-led education, you will be a key member of our School. Working closely with academic colleagues, you will help lead and deliver existing research. Our work is shaping health and social care practice and policy and developing methodology and science in social care. You will have a key role in grant writing, ensuring we continue to lead research in this field through sustained income generation. You will develop and deliver research-led education linked to your expertise.

We are looking for Senior Research Fellow (Social Care Research and Development) aligned with our world-leading research. The School of Healthcare is investing in its research capacity and capability, recruiting one Senior Fellow and two Fellows. The School of Healthcare leads Leeds’ contribution to the NIHR School for Social Care Research (Phase IV) and NICHE-Leeds (a partnership between science and care in the city). The posts will help us develop our research into Ageing Well and Quality and Safety. You will work with world-leading researchers, furthering our aims of impactful applied research of the highest quality, making a positive difference to society. You will work closely with colleagues in our research teams in the School and will join our teams to deliver our ambitious social care research portfolio.

Our portfolio focuses on questions that matter for social care and that will enhance quality of life and care for people accessing care, and/or quality of work for staff employed in the sector. Our areas of research include: technologies to enhance care and outcomes, quality and safety; the role of data and information in providing better care; supporting personal care (e.g. mouth care); social care workforce. Our methods range from working with big data; social network analysis; qualitative and mixed methods studies; and complex intervention development and evaluation. We don’t just “do research”; a key part of our work is developing capacity and skills and mobilising knowledge – working with the right people (people accessing social care, their families, care staff, providers, commissioners) to make a difference in practice and policy. We will expect you to be willing to work with our range of partners and be flexible in the approaches you use.  

Primarily focussing on research and contributing to research-led education, you will be a key member of our School. Working closely with academic colleagues, you will help lead and deliver existing research. Our work is shaping health and social care practice and policy and developing methodology and science in social care. You will lead on grant writing, leading research in this field through sustained income generation. 

We are seeking to appoint Research Fellows/Senior Research Fellows to join our National Institute for Health Research Applied Research Collaboration, Yorkshire & Humber (NIHR ARC YH) Dementia Capacity Building Postdoctoral Training Programme. The posts are funded as part of a prestigious NIHR ARC YH & Alzheimer’s Society award and will be based at the Academic Unit for Ageing & Stroke Research, Leeds Institute of Health Sciences, located at the Bradford Institute for Health Research. The successful applicant(s) will join a regional network of dementia researchers, in partnership with the Centre for Applied Dementia Studies, University of Bradford, and national NIHR ARC Dementia Postdoctoral Researcher Network. 

NIHR ARC YH have prioritised research into prevention of dementia as a major evidence gap, with a focus on the 12 potentially modifiable risk factors outlined in the 2020 Lancet Commission report on dementia prevention, intervention and care. Our NIHR ARC YH Dementia Capacity Building Postdoctoral Training Programme will involve novel research to investigate:

1. Health inequalities across the diverse populations of Yorkshire and Humber.

2. How health inequalities impact upon capacity for dementia prevention within population groups.

3. How interventions to prevent dementia at population and individual levels might be tailored to be acceptable and meet the needs of different groups, aiming to reduce health inequalities. 

Although these are core areas of interest for the planned work, we are also keen for researchers to outline their vision for research to support prevention of dementia, and align plans accordingly. 

We anticipate appointing postdoctoral researchers with a mix of methodological expertise. This includes researchers with qualitative research expertise, including intervention co-design, and researchers with expertise in epidemiology/biostatistics, including the use of routine health and care data for research. Although experience in dementia research is desirable, we recognise that many research skills are transferable, so encourage researchers who have experience in other related areas of health and care research to apply. 

We seek a Research Fellow with experience undertaking evidence-based research and evaluating policy and urban design practices. Good experience working with city councils and knowledge of local and national play space practices, policies, and guidelines will be preferable. 

The candidate will conduct a thorough literature review and policy analysis, applying qualitative research methods for developing an evidence-based policy brief, ‘Building Inclusive Play Spaces in Leeds’. They will also provide administrative support for workshop organisation, editorial assistance with the policy document and conduct discussions/debates, interviews, and focus groups. This role offers the opportunity to conduct research and manage processes towards the delivery of the research project. You will work with the principal investigator and team to execute the research aspects of the work programme and support ongoing activities. 

The candidate will work closely with the Leeds City Council team to evaluate the processes employed and produce a report with case studies and recommendations, including what these approaches might mean for policy and practice. In addition, you will advise and guide the project lead on sufficient approaches in collaboration with partners to help shape future public engagement programmes.

Leeds University Business School (LUBS) is a full service business school built on the rigour of disciplinary strength while working in a pluralistic way to deliver impactful research and education. With a research environment judged to be conducive to producing world leading and internationally excellent research by the REF 2021 panel, the Faculty is investing substantially in the further development of this environment through the Faculty’s two year Post Doctoral Fellowship Scheme We are looking for enthusiastic and highly motivated individuals who can make a significant contribution to our research activities. You will receive a structured programme of support.  Dedicated mentors will work with you and advise you on journal article preparation and submission, grant application, and new research and career trajectories. You will also have opportunities to develop teaching skills by undertaking teaching duties at definite, identifiable points in the year. 

Are you a researcher interested in developing robots that can reason about the physics of the world i.e. how objects move when a robot interacts with them? Do you have an established background in robotic manipulation? Do you want to gain experience in one of the most important technologies of the future: robotic picking and packing systems in warehouses?

In this EPSRC-funded project, you will develop planning, control, and learning algorithms for robotic manipulators. These algorithms will reason about the physics of mixed multi-object systems (e.g. a mix of items in an online delivery box). You will investigate methods to efficiently predict/simulate/learn the physics of such multi-object systems. You will integrate robotic arms, grippers, suction cups, visual, force, and tactile sensors into a complete system that can use such physics-based predictions to perform real-world picking and packing operations. 

You will be a leading researcher in Dr Mehmet Dogar’s group focusing on physics-based robotic manipulation. You will have the opportunity to collaborate with our academic partners (including ETH Zurich, UC Berkeley, TU Hamburg, German Aerospace Agency and Bristol University) to develop the algorithms and systems and, test the developed approaches in real warehouse settings (our industrial partners include Amazon Robotics).

The research project, Inclusive Art for Wicked Problems, is funded by UKRI via a Future Leader Fellowship and will be delivered in collaboration with inclusive arts organisation Pyramid. The study begins on the 2nd of September 2024 and will last for 48 months. It will use an arts-based systemic action research methodology to mobilise the expertise and creativity of learning disabled and neurodiverse artists across the challenges of the social care system. This includes a methodological work package to generate new ways of working that bridges inclusive arts practice and systemic action research, an international collaboration between the UK team and a researcher and art museum professionals in Brazil, and a locally embedded systemic action research project led by Pyramid artists across the Leeds City Region tackling the urgencies and issues with affect them.

The post-holder will work under the supervision of Dr Jade French. They will be engaged in a variety of activities including developing the methodology, reviewing literature and policy, facilitating a strand of systemic action research, organising stakeholder engagement, communications, and reporting in a variety of ways.

While most of the work will be located in Leeds across the university campus and Pyramid’s studio (Holbeck, Leeds), the post will involve travel across the Leeds City Region and occasional travel to Brazil. There is scope for some hybrid working. There will be opportunities to develop skills and knowledge including internal and external training.

As part of the interview process there will be a presentation and interview questions will be shared in advance.

We are looking for an outstanding postdoctoral research fellow to join the Aspden and Davies groups at the University of Leeds. The research fellow will be part of a large team (£5.6M, funded by a BBSRC Strategic Longer and Larger grant). The team aims to unravel the ‘ribosome code’, rules that explain how compositionally dissecting ribosomes enable translation of specific sets of mRNAs. Specifically, the research fellow will focus on dissecting the molecular mechanisms by which specialised ribosomes regulate translation across multiple species, with an emphasis on Arabidopsis thaliana and Drosophila melanogaster. This will include cloning, designing transgenics, CRISPR, RNAi, phenotypic assessment and translation assays (e.g. sucrose gradients). The research fellow will work closely with others of the team who will generate ribosome complexes and structurally characterise them. Together we will be able to dissect conserved mechanisms of ribosome specialisation across eukaryotes, allowing us to unravel the ‘ribosome code’.

The University of Leeds and the Faculty of Biological Sciences are committed to providing equal opportunities for all and offer a range of family friendly policies. The University is a charter member of Athena SWAN (the national body that promotes gender equality in higher education), and the Faculty of Biological Sciences was awarded a Silver award in 2020. We are proud to be an inclusive Faculty that values all staff, and are happy to consider job share applications and requests for flexible working arrangements from our employees. Our Athena SWAN webpage provides more information. 

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 the Government’s Skilled Worker visa page.

Do you have a background in qualitative research?  Do you want to further your career in one of the UK’s leading research intensive Universities?

This is an exciting opportunity for a post-doc researcher to join a thriving applied health research team with a commitment to supporting and developing its members. The Leeds Institute of Clinical Trials Research (LICTR) is looking to appoint a highly motivated Research Fellow to work for 18 months (full or part time) across two NIHR-funded studies.

ou will join a team of climate change and impacts scientists at the University of Leeds to work on the new European Union funded Ambrosia project. Ambrosia is a 3-year project involving 17 public and private sector partners across Europe, which aims to bridge knowledge, communication, and action for Food Safety in Europe in a changing climate. You will work with Professor Amanda Maycock, Professor Andy Challinor and an international team of interdisciplinary researchers to investigate regional climate changes in Europe which have the potential to affect food systems. You will analyse observation datasets and global and regional climate model projections to establish projected changes in climate and extremes in Europe and their importance for risks related to food safety. You will investigate sources of uncertainty in projections and different ways to account for uncertainties in risk assessments (e.g., storylines vs. probabilistic information). You will work collaboratively with an interdisciplinary group of scientists to connect the changes in regional climate to the risk of food pathogens at different stages of food production (growing, harvesting, processing, storage). This is a fantastic opportunity to develop new interdisciplinary research skills working across the Physical Climate Change and Climate Impacts research groups at Leeds.

You will have, or be close to obtaining, a PhD in the field of Atmospheric Science, Climate Science or Climate Impacts, and have extensive experience of using models and observations to study physical climate and/or climate impacts. You will have evidence of a strong commitment to publishing scientific results at an international level.

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.

The 6G National Research Programme is at the forefront of pioneering research and development in the field of 6G technologies. As part of the Communications Hub for Empowering Distributed Cloud Computing Applications and Research (CHEDDAR), we are focused on advancing the integration of UK expertise in communications and networking to maintain the country’s leadership in 6G technologies. Our research is generously funded by the Engineering and Physical Sciences Research Council (EPSRC) and the Department of Science, Innovation, and Technologies (DSIT). By joining our team, you will have the opportunity to collaborate with leading experts nationwide and contribute to groundbreaking projects in the field.

We are seeking a Research Fellow to join our team and lead the research efforts in the domain of Green AutoML for 6G Edge-Fog-Cloud Continuum. As part of the CHEDDAR Hub, you will work alongside a diverse group of researchers dedicated to pushing the boundaries of 6G technology. Your primary responsibility will be to spearhead research initiatives aimed at developing green machine learning approaches, contributing to the advancement of sustainable practices for incorporating machine learning (ML) in telecommunication networks.

Holding a PhD (or have submitted your thesis before taking up the role) in Electronic and Electrical Engineering or a closely allied discipline, you will have a background in system level modelling and in programming with proficiency in at least one programming language (e.g., Python, Java, Rust, C/C++). 

The overarching aim of this project is to make new measurements of material properties and update/extend critical databases of thermodynamic data, to be used for the sustainable manufacturing of cement minerals from natural and waste materials. 

The ideal candidate will be experienced in high-temperature processing and thermodynamics, inorganic materials characterisation, and writing of scientific/technical publications and reports. Experience in heat capacity and vapor pressure measurements as well as use of a high-temperature drop-calorimeter is highly desirable. You will survey literature thermodynamic data before producing pure and solution clinker and cement phases and measure and fit their thermodynamic data. You will contribute to the University’s commitment of producing research and innovation outcomes that will drive economic growth in a sustainable and responsible manner.

This post involves deriving thermodynamic data for inorganic minerals and developing models for the thermodynamic properties of pure and solution phases. The post-holder is also expected to regularly apply for and use equipment e.g., (Quantum Design PPMS) at national facilities, as well as other sophisticated equipment that may become available.

This role will be based at the university of Leeds campus and there is scope for it to be undertaken in a hybrid manner. We are open to discussing flexible working arrangements.