Research Fellow Positions at University of Leeds

1. Research Fellow in High-Speed Atomic Force Microscopy Methods Development

Are you an ambitious researcher looking for your next challenge? Are you interested in applying your research skills to develop new methods to improve resolution for healthcare applications?

You will join an EPSRC Open Fellowship project in the group of George Heath which aims to develop new Atomic Force Microscopy methods to improve spatial resolution and quantitatively map interactions with microsecond and at sub-nanometre resolution.

To better understand the behaviour of any disease and to develop treatment options for it, we need to understand processes occurring on the single molecule level as well as the cellular and tissue levels. However, biomolecules are highly dynamic and have complex structures which are difficult to observe simultaneously. Biomolecules such as DNA and proteins interact with many other molecules to perform their biological function. Exploiting these interactions with molecules such as drugs, to block or enhance function can be used to treat or prevent diseases. However, few experimental techniques can capture this information at the relevant spatiotemporal scales. In this project you will work experimentally develop AFM methods to enable near atomic resolution imaging of single biomolecules interacting with binding partners.

With a PhD (or have submitted your thesis prior to taking up the appointment) in Physics, Chemistry, Biophysics or a related field, you will have experience in atomic force microscopy of biological samples and a developing track record of peer reviewed publications in international journals.

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 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 much more.
• 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: 

Dr. George Heath, University Academic Fellow

Tel: +44 (0)113 343 9718 or email: G.R.Heath@leeds.ac.uk 

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Engineering & Physical Sciences
School/Institute:	School of Physics & Astronomy
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 p.a.
	Due to funding restrictions, an appointment will not be made higher than £38,474 p.a.
Working Time:	37.5 hours per week
Post Type:	Full Time
Contract Type:	Fixed Term (Until 31 August 2026 due to grant funding)
Release Date:	Tuesday 02 May 2023
Closing Date:	Sunday 04 June 2023
Interview Date:	To be confirmed
Reference:	EPSPA1081

2. Research Fellow in Enhanced Pure Spin Current Devices

Are you a researcher in condensed matter physics looking for your next challenge? Do you want to further your career in one of the UK’s leading research-intensive Universities?

You will be working on an innovative project which is an essential part of a 5 year £7.8M EPSRC Programme Grant, Nanoscale Advanced Materials Engineering (NAME) which is a collaboration between the University of Manchester, Imperial College London and the University of Leeds. NAME aims to revolutionise the design and delivery of functionality on demand at the nanoscale within advanced materials and through the development of new world-leading capabilities.  We aim to transform the ability to exploit spin and photonics; address and harness thermal interactions; realise designer materials for quantum technologies; and in so doing, shape the UK and international advanced functional materials landscape. Details of the NAME project can be found on our dedicated website.

Your role will be to develop lateral spin valves for spin current transport. The objective is to enhance the spin signal utilising the P-NAME ion implantation tool based in Manchester.  P-NAME has sub-5 nm resolution e-beam imaging enabling the target for doping to be identified without ion contamination and can then deposit isotopically-selected ions with sub-20 nm resolution.  The doping concentration can be controlled from single ion to high dose (e.g. 10¹⁸ ions/cm²) doping at energies from ~5 to 50 keV and includes direct-write ion beam lithography capability.

The project is based in the Condensed Matter Group (CMG) at Leeds, one of the largest and best equipped spintronics groups in the UK.   Housed in the new £100m Bragg Building, CMG has five stand-alone deposition systems and the Royce Institute multi-chamber system comprising four interconnected UHV chambers enabling sputtering, e-beam, molecular evaporation, PLD and MBE deposition. One of these systems is a bespoke MBE system optimised for the growth of lateral spin valves by shadow deposition.  You will have access to advanced characterisation tools optimised for thin film devices, cryostats and low-noise measurement systems, magnetometers and scanning probes with vector fields and low temperatures.  Your fabrication will utilise the very latest clean room instruments housed in the vibration- and noise-isolated environment of the Bragg Centre.

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

Professor B J Hickey, Professor of Physics

Tel: +44 (0)113 343 3836 or email: B.J.Hickey@leeds.ac.uk 

OR

Dr Satoshi Sasaki, Lecturer 

Tel: +44 (0)113 343 3578 or email: S.Sasaki@leeds.ac.uk 

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Engineering & Physical Sciences
School/Institute:	School of Physics & Astronomy
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 p.a.
	Due to funding restrictions, an appointment will not be made higher than £38,474 p.a.
Working Time:	37.5 hours per week
Post Type:	Full Time
Contract Type:	Fixed Term (2 years due to grant funding)
Release Date:	Monday 22 May 2023
Closing Date:	Sunday 18 June 2023
Interview Date:	To be confirmed
Reference:	EPSPA1080

3. Research Fellow in Biological NMR/Biophysics

Are you looking to apply your skills in Biological NMR/Biophysics to gain a new molecular understanding of the mechanism of amyloid formation and help to develop new routes to combat amyloid disease?

We are looking for an outstanding postdoctoral research fellow to join our interdisciplinary team that is investigating how proteins aggregate into amyloid fibrils, including the link between disease-relevant mutations, post-translational modifications and fibril structure. Funded by Wellcome, you will use biological NMR and other biochemical and biophysical methods, including mass spectrometry, single molecule FRET and other biophysical methods to map the early protein-protein interactions in amyloid formation and to discover new routes to prevent or control these interactions using small molecules, chaperones, or other approaches. You will have expertise in the analysis of protein structure and dynamics using modern biomolecular NMR approaches combined with computational analysis and/or other biophysical and biochemical methods to interrogate how ligands bind and affect protein assembly. The project will focus on a range of amyloid diseases, including type II diabetes, Parkinson’s and systemic amyloidosis.

You will be based in the laboratory of Professor Sheena Radford and work closely with other members of our amyloid group that bring skills in cryoEM, biophysics, cell biology and peptide chemistry to the team (Radford lab). You should have a PhD (or be close to completing one) in Structural Biology, Chemical Biology, Biochemistry, Biophysics or a related discipline, and you should have extensive experience of using biological NMR and other biophysical methods to elucidate biological mechanisms. 

Further information about the project and our recent publications are available within the additional information document.

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

Professor Sheena Radford, Astbury Professor of Biophysics

Tel: +44 (0)113 343 3170 | Email: s.e.radford@leeds.ac.uk

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Biological Sciences
School/Institute:	School of Molecular & Cellular Biology / Astbury Centre for Structural Molecular Biology
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 p.a.
Working Time:	100% - We will consider flexible working arrangements.
Post Type:	Full Time
Contract Type:	Fixed Term (for up to 24 months due to external funding)
Release Date:	Wednesday 26 April 2023
Closing Date:	Wednesday 24 May 2023
Reference:	FBSAS1060

4. Research Fellow in Urban Data Science

Are you an ambitious researcher looking for your next challenge? Do you want to work on cutting edge urban data science methods? Do you want to further your career in one of the UK’s leading research-intensive universities?

You will work on a project, funded by the European Research Council, called Data Assimilation for Agent-Based Models (DUST). The project is conducting advanced data analysis and developing computer models that can be used to explore social phenomena – such as disease spread, traffic congestion, or crowding in busy public places – in real-time, with the aim of providing valuable, up-to-date information to decision makers. 

The project needs data scientists to extract, analyse and model (e.g. with machine learning) data that can shed a light on different patterns and processes within cities. Examples include: understanding pedestrian dynamics through the analysis of real-time spatio-temporal CCTV data; exploring longitudinal schools data to better understand why some children are being failed by the education system; parsing real-time public transport data to improve transport models; examining air quality data to identify times and places that have the greatest health risks to residents; etc. The project aims are very broad so the specific application area can be decided on through discussion with the successful candidate, taking account of their own interests and expertise. 

The research team is lead by Dr Nick Malleson and will be located within the School of Geography and the Leeds Institute for Data Analytics (LIDA), both of which are emerging as international centres of excellence in agent-based modelling. The city of Leeds is already recognised as a hub for big data analytics in business, health care and academic research. In addition, the University is a partner in the Alan Turing Institute, which is the UK’s national institute for artificial intelligence and data science, offering exciting opportunites to for researchers to engage with scientific leaders from a range of fields. 

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

Professor Nick Malleson

Tel: +44 (0)113 343 5248

Email: n.s.malleson@leeds.ac.uk

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Environment
School/Institute:	School of Geography
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 per annum
Working Time:	100%
Post Type:	Full Time
Contract Type:	Fixed Term (until 31 December 2023 due to project funding)
Release Date:	Tuesday 09 May 2023
Closing Date:	Tuesday 23 May 2023
Reference:	ENVGE1209

5. Research Fellow in Simulating Urban Systems

Are you an ambitious researcher looking for your next challenge? Do you want to work on developing a new generation of simulation models? Do you want to further your career in one of the UK’s leading research-intensive universities?

You will work on a project, funded by the European Research Council, called Data Assimilation for Agent-Based Models (DUST). The project is developing agent-based computer simulations that can be used to model social phenomena – such as disease spread, traffic congestion, or crowding in busy public places – in real-time, with the aim of providing valuable, up-to-date information to decision makers. Agent-based modelling is an ideal methodology for this type of simulation but has rarely been used to make real-time predictions. Hence there is an opportunity to develop models that are able to incorporate real-time data to make their short-term predictions more accurate. 

You will contribute to one of three alternative project work streams depending on your interests and expertise: (i) agent-based diffusion models that can adapt to new data in real time to model infectious disease transmission or the spread of political ideas; (ii) public transport models that can provide up-to-date delay estimates in a complex, noisy transport system; and (iii) economic agent-based models that can adapt to rapidly changing social and economic conditions.

The research team is lead by Dr Nick Malleson and will be located within the School of Geography and the Leeds Institute for Data Analytics (LIDA), both of which are emerging as international centres of excellence in agent-based modelling. The city of Leeds is already recognised as a hub for big data analytics in business, health care and academic research. In addition, the University is a partner in the Alan Turing Institute, which is the UK’s national institute for artificial intelligence and data science, offering exciting opportunites to for researchers to engage with scientific leaders from a range of fields. 

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

Professor Nick Malleson

Tel: +44 (0)113 343 5248

Email: n.s.malleson@leeds.ac.uk

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Environment
School/Institute:	School of Geography
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 per annum
Working Time:	100%
Post Type:	Full Time
Contract Type:	Fixed Term (until 31 December 2023 due to project funding)
Release Date:	Tuesday 09 May 2023
Closing Date:	Tuesday 23 May 2023
Reference:	ENVGE1210

6.Research Fellow in Computational Cognitive Geography

Are you an ambitious researcher fascinated in human spatial behaviour? Are you interested in exploring innovative ways to model cognitive geography? Do you want to further your career in one of the UKs leading research-intensive Universities?

Geographical analysis is built on an implicit assumption that events take place over a Euclidean plane. Yet we know from studies of spatial cognition and psychology, that this assumption is partly flawed by human perception and biases. As such, the policies and local services we plan, based on simplistic, straight-line distances, neglect the true understanding people have of the world around them. Geography must do better at putting humans at the core of their analysis.

This ground-breaking project – supported through funding from the Philip Leverhulme Prize for Geography and the Alan Turing Institute – will explore new ways of modelling geographic space. The project will bring together thinking from behavioural geography, artificial intelligence, neuroscience, and psychology, combining theory, new data, and novel computational methods to produce new models of geographic space, reflecting how people really recall, plan, and behave in real-world geography. The project will produce new ways of conceiving spatial data, enabling a new wave of quantitative cognitive geography.

We are looking for a researcher to support the work on advancing theory and methods relating to cognitive geography. You will work closely with the PI, Prof Ed Manley, and several world-renowned external collaborators and research centres (notably the Leeds Institute for Data Analytics and the Alan Turing Institute), to develop new ideas and approaches for modelling cognitive geography. You will have an approach to research and level of technical expertise that allows you to move comfortably across computational methods (including reinforcement learning, machine learning, and agent-based modelling) and geographic theory. You will have experience of working with novel behavioural data and developing new models of behaviour. You will gain experience in a rapidly emerging, interdisciplinary field that will benefit a future career in academia or data science.

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

Ed Manley, Professor of Urban Analytics

Email: e.j.manley@leeds.ac.uk

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Environment
School/Institute:	School of Geography
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 per annum
Working Time:	100%
Post Type:	Full Time
Contract Type:	Fixed Term (Fixed-term for 18-months due to external funding)
Release Date:	Wednesday 17 May 2023
Closing Date:	Thursday 08 June 2023
Reference:	ENVGE1213

7. Research Fellow in Terahertz Frequency Detectors for High-Speed Wireless Communications

Are you an ambitious researcher looking for your next challenge? Do you have an established background in quantum cascade lasers, terahertz science or micro-fabrication? Do you want to further your career in one of the UK’s leading research-intensive universities?

We seek a post-doctoral research fellow to join a large, supportive, well-funded group that has a long-standing international track record for impactful research in all aspects of terahertz science and technology. This exciting three-year position will support a large collaborative EPSRC-funded project in the field of terahertz-frequency communications and will give you the opportunity to work at the forefront of this new and rapidly growing field.

Your role will focus on the development, characterisation and optimisation of new THz-frequency heterodyne receivers based on quantum heterostructures. This will be achieved by investigating the use of THz-frequency quantum cascade laser (QCL) structures as integrated receivers incorporating a THz local oscillator and mixer. You will also develop and investigate monolithically-integrated heterodyne receivers based on a QCL local oscillator and quantum detector. The applications for this work include high precision spectroscopy and high-speed wireless communications.

You will join a world-leading terahertz research group at the University of Leeds, with state-of-the-art growth, device fabrication, and terahertz experimental facilities, and collaborate with other members of the consortium including in the Cavendish Laboratory, Cambridge, and University College, London. The Leeds group comprises colleagues with backgrounds including experimental and theoretical physics, electronic and electrical engineering, chemistry, and materials science.  As such, there is opportunity for excellent and motivated candidates from a wide range of disciplines.

You will have a background in at least one of semiconductor device fabrication; semiconductor device simulation; laser physics/optics; and terahertz sources/detectors.  You will have excellent interpersonal skills, a proactive approach to problem solving, and be comfortable interacting day-to-day with academics of all career stages across several institutions.

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 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 much more.
• 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:

Dr Paul Dean, Associate Professor

Tel: +44 (0)113 343 2095 or email: P.Dean@leeds.ac.uk

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Engineering & Physical Sciences
School/Institute:	School of Electronic & Electrical Engineering
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 p.a.
	Due to funding restrictions, an appointment will not be made higher than £38,474 p.a.
Working Time:	37.5 hours per week
Post Type:	Full Time
Contract Type:	Fixed Term (3 years due to grant funding)
Release Date:	Wednesday 17 May 2023
Closing Date:	Wednesday 14 June 2023
Reference:	EPSEE1099

8. Research Fellow in Knee Rehabilitation Robotics

Are you an ambitious researcher looking for your next challenge? Do you have an established background in rehabilitation robotics and an interest in medical technology, innovation and entrepreneurship? Do you want to further your career in one of the UKs leading research intensive Universities and world-class rehabilitation robotics research centre?

The University of Leeds is one of the top 100 universities in the QS World University Rankings 2021. As one of the UK’s leading research-intensive Universities, the University delivers transformational fundamental and challenge-led research to advance knowledge and tackle major issues, to improve the future of our world. 

We are looking to recruit a highly skilled and ambitious Postdoctoral Research Fellow to work on a joint research project between the Sport and Exercise Sciences group at the School of Biomedical Sciences and the Centre of Intelligent Robotics at the School of Electronic and Electrical Engineering.  

You will join our team of researchers in the Centre of Intelligent Robotics Lab at the School of Electronic and Electrical Engineering. The team is currently working on translational research, specifically, the development of a wide range of affordable and innovative robots that are tailored to meet patients’ needs, and deliver effective diagnosis and personalised rehabilitation therapy for the ageing population with knee osteoarthritis. Specifically, your research will focus on developing a transferable technology for knee osteoarthritis patients’ rehabilitation at home. Your work will support the development of a new exoskeleton design and validation for knee rehabilitation. You will develop software/hardware/computer games for controlling and monitoring the exoskeleton, evaluate the performance and effectiveness of the control strategies. 

This position will offer opportunities for close collaborations with industry experts, clinicians and patients. In addition to carrying out project work, the researcher will benefit from exposure to internal and external expertise in medical device innovation that are supporting the innovation pathway such as IP management, business planning, marketing research, funding application and establishing the spin-out company. 

For this role, you should have a PhD (or have submitted your thesis before taking up the role) in one of the following disciplines: Electronic Engineering, Mechanical Engineering, Mechatronics and Robotics, Computer Science or a closely allied discipline.  You should have experience in advanced hardware platforms for robotics, state-of-the-art signal processing algorithms, and good knowledge of programming languages such as Matlab/Python and c#.  You should also have knowledge and expertise in control, software and hardware development, together with an enthusiastic, proactive approach to translational research and innovation. 

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

Dr Aiqin Liu, Lecturer in Human Biomechanics  

Email: A.Liu@leeds.ac.uk | Tel: +44(0)113 343 39436

Professor Shane Xie, Chair in Robotics and Autonomous Systems  

Email: S.Q.Xie@leeds.ac.uk | Tel: +44(0)113 343 4896

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Biological Sciences
School/Institute:	School of Biomedical Sciences
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 p.a.
Working Time:	100% - 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.
Post Type:	Full Time
Contract Type:	Fixed Term (for 12 months with a latest end date of 30th June 2024, due to external funding)
Release Date:	Friday 19 May 2023
Closing Date:	Friday 16 June 2023
Reference:	FBSBM1191

9. Research Fellow, Centre for Immersive Technologies

Do you want to work at the cutting edge of healthcare technology research? Would you like to explore how extended reality (e.g., virtual and augmented reality) can be used to improve surgical training and patient outcomes? Would you like to be a part of an exciting new immersive technologies theme within the NIHR Leeds Biomedical Research Centre? 

We are seeking a highly motivated Researcher to join the Leeds Institute for Medical Research and the Centre for Immersive Technologies at University of Leeds to contribute to our ongoing programming of research on using virtual and augmented reality technologies to improve surgical training and practice. 

This position will involve you leading on the development of new research to understand how extended reality technologies can help optimise surgical performance and improve patient outcomes. 

This post is funded by, and forms part of, our new National Institute for Health and Care Research (NIHR) Leeds Biomedical Research Centre (BRC). This exciting investment in translational medicine provides a unique opportunity to drive research which makes a difference to the health and wealth of the United Kingdom, but also to our local community.

Our new NIHR Leeds BRC builds on our strengths in musculoskeletal disease and engagement with patients and the public and now brings in research in surgical technologies, haematology (with the University of York), cardiometabolic disease, pathology, and antimicrobial resistance. With a vison to improve health and wellbeing by accelerating diagnosis, enabling early treatment that is personalised for each patient and, where possible, prevent disease and infection. It is driven by the need to address the grand challenges of an ageing, multi-morbid population.

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

Dr Faisal Mushtaq f.mushtaq@leeds.ac.uk

As an international research-intensive university, we welcome students and staff from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Within the Faculty/School of Medicine we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+; and disabled people.  Candidates will always be selected based on merit and ability.  

Location:	Leeds - Chapel Allerton Hospital
Faculty/Service:	Faculty of Medicine & Health
School/Institute:	Leeds Institute of Rheumatic & Musculoskeletal Medicine (LIRMM)
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 p.a.
Post Type:	Full Time
Contract Type:	Fixed Term (Available for Two years due to external grant income)
Release Date:	Friday 28 April 2023
Closing Date:	Friday 26 May 2023
Interview Date:	To be confirmed
Reference:	MHLRM1223

10. Research Fellow in Control of Surgical Robots

Do you want to make a difference in patients’ quality of life by creating innovative robots that are able to treat incurable diseases? Are you excited about contributing to scientific research in surgical robotics? Are you able to think outside the box to find innovative solutions to life-threatening diseases?  Do you want to join a world-leading team of roboticists, manufacturing engineers, and clinicians?

We are looking for a proactive individual to join our Science and Technology Of Robotics in Medicine (STORM) Lab, bringing their excitement for scientific research in surgical robotics with them. 

At the STORM Lab, we strive to improve the quality of life for people undergoing soft-tissue surgery and flexible endoscopy by creating miniature and non-invasive robots. This includes the creation and investigation of miniature capsule-like or tentacle robots to work inside the human body. At the STORM Lab, we are designing and creating soft and compliant robotic devices that can be used within the human body to detect and cure diseases in a non-invasive way.

This vacancy is created by a major EPSRC grant (EP/V047914/1 “Terabotics–Terahertz Robotics for Surgery and Medicine”) awarded to the University of Leeds, which aims at exploring how Terahertz-based imaging can contribute to the automation of surgical tasks in robotic procedures for early-stage cancer detection and removal. You will join a multi-disciplinary research team aiming at integrating innovative imaging probes into cutting-edge surgical robotic and robotic endoscopy platforms, modelling their behaviour at different steps of the surgical procedure, exploring different levels of computer assistance based on multi-modal sensing, and testing them in realistic anatomical models.

The elements related to the advanced imaging probes will be conducted in collaboration with Professor John Cunningham at the University of Leeds, and Professor Emma MacPherson at the University of Warwick.

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 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 much more.
• 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: 

Pietro Valdastri, PhD, Chair in Robotics and Autonomous Systems

Tel: +44 (0)113 343 3706 or email: P.Valdastri@leeds.ac.uk 

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Engineering & Physical Sciences
School/Institute:	School of Electronic & Electrical Engineering
Section:	Institute of Robotics, Autonomous Systems and Sensing
Category:	Research
Grade:	Grade 7
Salary:	£36,333 to £43,155 p.a.
Working Time:	37.5 hours per week
Post Type:	Full Time
Contract Type:	Fixed Term (2 years due to grant funding)
Release Date:	Thursday 18 May 2023
Closing Date:	Thursday 15 June 2023
Reference:	EPSEE1100

11. Clinical Research Fellow

Are you medically qualified and ambitious with an interest in cardiovascular care and outcomes research? Do you want to further your career by undertaking an MD in one of the UK’s leading research-intensive Universities?

You will support and undertake original and investigator-led cardiovascular epidemiological and health services research. You will work closely with experts at the University of Leeds, and Leeds Teaching Hospitals Trust, UK.

You will be medically qualified with MRCP, full GMC registration and undertaking specialist training in Cardiology.

Main Duties and Responsibilities

As Clinical Research Fellow your main duties will include:

• Conducting high-quality research contributing to the development of projects, under appropriate supervision and guidance.
• Taking responsibility for the successful day to day running of specific cardiovascular projects, including involvement in the European United Registries for Heart Care evaluation and Randomised trials (EuroHeart).
• Agreeing and implementing clear priorities with your line manager for cardiovascular projects.
• Communicating or presenting research results at a local and international level.
• Building internal and external contacts for the exchange of information and for future collaboration.
• Independently writing reports and preparing papers leading to high quality publications in peer-reviewed journals, or other recognised forms of output, as appropriate.

• Evaluating methods and techniques used and results obtained by other researchers and to relate such evaluations appropriately to your own work.
• Keeping abreast of the literature and maintain a good working knowledge of the background and current developments in the field of the project.
• Working both independently and also as part of a larger team of researchers, engaging in knowledge-transfer activities where appropriate and feasible.
• Maintaining own continuing professional development by undertaking training where required.

Clinical Duties

You will undertake outpatient clinical work with Professor Gale at Leeds Teaching Hospitals NHS Trust, circa one day per week. Any additional clinical work will be in agreement with your supervisors.

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

Christopher Gale, Professor (Clinical)

Email: C.P.GALE@LEEDS.AC.UK

Additional Information

Working at Leeds 

We are a campus based community and regular interaction with campus is an expectation of all roles in line with academic and service needs and the requirements of the role.  We are also open to discussing flexible working arrangements. To find out more about the benefits of working at the University and what it is like to live and work in the Leeds area visit our Working at Leeds information page. 

Criminal Records

This post is subject to the Rehabilitation of Offenders Act 1974 (Exceptions) Order (as amended) and as such, applicants are required to declare criminal records accordingly.  Appointees may also be required to complete a criminal record check from the Disclosure and Barring Service (DBS) and where relevant, equivalent overseas authorities.

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Medicine & Health
School/Institute:	Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM)
Section:	Clinical and Population Science Department (CPSD)
Category:	Clinical
Grade:	Clinical Research Fellow
Salary:	£35,254 to £58,398 per annum
Post Type:	Full Time
Contract Type:	Fixed Term (1 September 2023 to 31 August 2025 - due to external funding)
Release Date:	Thursday 18 May 2023
Closing Date:	Thursday 01 June 2023
Reference:	MHLCM1332

 

12. Research Fellow in Urban Mobility

Are you an ambitious researcher and fascinated by urban mobility data? Are you interested in supporting social science research in a growing, multidisciplinary  centre committed to using consumer data for the public good? Would you like to further your career in one of the UK’s leading research-intensive Universities by making consumer- and “digital footprint” data more accessible to academics, policymakers and the public?

First established in 2014, the Consumer Data Research Centre (CDRC) at Leeds delivers insights into human behaviour using consumer and commercial datasets. The Centre continues to grow, and is seeking a Research Fellow in Urban Mobility who can help us deliver greater impact from our data assets and projects in this specific theme. 

Since February 2023, the Centre has been working in partnership with Wejo to make connected vehicle data more readily available for research purposes.  The first phase of activity has focused on the launch of a unique, high-quality dataset on the Centre’s data store, supplied by Wejo, which contains GPS trajectories for around 50,000 vehicles during the month of July 2022, representing real-time insights over 1.8 million vehicle journeys and encompassing 400 million individual records.  This is one of the first times such detailed, in-depth data on connected vehicle trajectories has been made available for academic research.

In parallel, the Centre has also since 2020 been partnering with mobility and location data provider Spectus, leading to the creation of anonymised, aggregated daily counts of journeys between UK local authorities. During the COVID-19 pandemic in particular, use of this type of opted-in mobile phone- and GPS data enhanced a wide number of studies and policy responses that measured adherence to stay-at-home policies, alongside trends in the return to in-person workplaces. 

The value of these data lies in how they show activities and choices varying across space and time, how they indicate underlying regional, demographic or behavioural influences, and the way in which they enable assessment of impacts of new policies, disruptions, or other interventions. Beyond mobility, these data have the potential to be applied to a wide range of disciplines and further policy issues, including income segregation, food consumption, crime risk, and use of urban green spaces.  As a Centre, we want to use data such as those provided by Wejo and Spectus as the source(s) for multiple future outputs that address wider technological and methodological challenges conventionally associated with research into “digital footprints”-data.

We are therefore looking for a researcher to support work on advancing theory and methods relating to urban mobility and, most crucially, work on emerging insights that ultimately have impacts on policy. You will work closely with the PI, Professor Ed Manley, to develop new ideas and approaches for modelling urban mobility. You will have an approach to research and level of technical expertise that allows you to draw out new insights and models of mobility behaviour from large datasets. You will gain experience in a rapidly developing, interdisciplinary field that will benefit a future career in academia or data science.

We will consider flexible working arrangements. Please get in touch to discuss.

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

Professor Ed Manley

Tel: +44 (0)113 343 3356

Email: E.J.Manley@Leeds.ac.uk 

Location:	Leeds - Main Campus
Faculty/Service:	Faculty of Environment
School/Institute:	School of Geography
Category:	Academic
Grade:	Grade 7
Salary:	£36,333 to £43,155 per annum
Post Type:	Full Time
Contract Type:	Fixed Term (Fixed term until 30 September 2024 due to external funding)
Release Date:	Tuesday 16 May 2023
Closing Date:	Tuesday 13 June 2023
Reference:	ENVGE1211