Research Support Assistant in Knee Rehabilitation Exoskeleton
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Position Overview & Specifications
Do you have skills in mechanical design and testing of rehabilitation robotics and an interest in medical technology, innovation and entrepreneurship? Do you want to further your career in one of the 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 Research Support Assistant 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, this research will focus on developing a transferable technology for knee osteoarthritis patients’ rehabilitation at home. Your will work to support the development of a new exoskeleton design and validation for knee rehabilitation including design, manufacture and test of the knee exoskeleton. This position will offer opportunities for close collaborations with industry experts, clinicians and patients.
You will have a strong background in Electronic or Mechanical Engineering, or Mechatronics and Robotics or a closely related discipline. You will have knowledge and expertise in mechanical design and validation of knee exoskeleton.
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: Technical Support
Grade: Grade 5
Salary: £24,285 to £27,929 p.a.
Working Time: 100% - we are open to discussing flexible working arrangements
Post Type: Full Time
Contract Type: Fixed Term (6 months - due to external funding. With a latest start date of 1st April 2023)
Release Date: Thursday 02 March 2023
Closing Date: Thursday 23 March 2023
Reference: FBSBM1189
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Colleges & Universities
Based on transatlantic hiring benchmarks for Research Support Assistant in Knee Rehabilitation Exoskeleton roles across University of Leeds's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Colleges & Universities.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £24,285 - £27,929 bracket, including retirement vesting and health parity.
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