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University Clinical Academic Fellow/University Academic Fellow in Healthcare and Surgical Robotics

Are you an experienced and ambitious researcher looking to improve patients’ quality of life by developing or applying new technologies? Do you have a strong research background in robotics in healthcare? Do you want to further your career in a world-leading, research-intensive Russell Group University? 

With a vision and drive to contribute to a World-Leading research portfolio, as well as a passion for undertaking research-led teaching, you will make a significant impact on the performance, stature and profile of research and student education at The University of Leeds.

The University of Leeds is building its interdisciplinary strength in healthcare robotics. We aim to be a global leader in the development and evaluation of healthcare robotics to to transform healthcare provision. 

Robotics research at Leeds is highly interdisciplinary, linking the Faculties of Engineering, Medicine and Health, Biological Sciences, and Mathematics and Physical Sciences, and working closely with research-active clinicians in the Leeds Teaching Hospitals NHS Trust. 

We host five national research centres which support this field:

  • EPSRC National Facility for Innovative Robotic Systems,

  • NIHR Leeds Biomedical Research Centre,

  • EPSRC Centre for Innovative Manufacturing in Medical Devices,

  • NIHR Surgical Medtech Co-operative,

  • EPSRC Medical Technology Innovation and Knowledge Centre

Together, they have attracted the largest portfolio of competitively-obtained funding for biomechanics and robotics in the UK.Within the Engineering Faculty, the Institute of Robotics, Autnomous Systems and Sensing (IRASS) is recognised internationally for excellence in robotic endoscopy and robotic surgery and has secured over £10 million of research funding since 2016. 

Our capability for evaluating healthcare robotics is further enhanced by the internationally-recognised Institute of Clinical Trials Research which has extensive expertise in clinical trials of healthcare technologies and complex interventions. The University has a highly successful track record of translation and commercialisation of medical technologies, as evinced by the 2017 Science and Innovation Audit of the Leeds City Region.

Two University Academic Fellowships are available. One fellowship will be in the field of surgical robotics; the second fellowship is open to candidates with expertise in developing or applying robotics technologies in orthopaedics, rehabilitation or general surgery. Applications are welcomed from clinically and non-clinically qualified applicants.


Career Pathway: Tenure track equivalent post requiring successful completion of a 5 year development plan, leading to appointment to a grade 9 Associate Professor, with the potential for accelerated progression.


Find out more about our Academic Fellowships


For any queries, please email: UAFSupport@leeds.ac.uk

To explore the post further, please contact:

Professor Rory O’Connor, Pro-Dean for Research and Innovation (Orthopaedic, rehabilitation or general surgery robotics) 

Tel: +44 (0)113 343 0671

Email: R.J.O’Connor@leeds.ac.uk

Professor Pietro Valdastri, Chair in Robotics & Autonomous Systems (Surgical robotics)

Tel: +44 (0)113 343 3706

Email: p.valdastri@leeds.ac.uk


Application Requirements

As part of the application process you will be required to upload the following documents:
1.    A CV;
2.    A list of publications;
3.    A statement detailing your research and academic plan (no more than 2 sides of A4).


Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Medicine & Health
School/Institute:  School of Medicine
Category:  Academic
Grade:  Grade 8
Salary:  £40,792 to £48,677 p.a.
Post Type:  Full Time
Contract Type:  Ongoing
Release Date:  Monday 28 January 2019
Closing Date:  Sunday 10 March 2019
Reference:  MEDEL1081
Downloads:  Candidate Brief  

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

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