Closing date: 30 July 2021
This three and a half (3.5) year studentship is funded by the Department of Automatic Control and Systems Engineering and the Dunhill Medical Trust in the newly formed Healthy Lifespan Institute Doctoral Training Programme at The University of Sheffield in collaboration with the Department of Psychology and the Health Sciences School. We aim to train the next generation of researchers to advance our understanding of the mechanisms of ageing, and to find new effective ways of using robotic and intelligent systems technologies to improve the lives of older people living with the multiple age-related diseases that adversely impact quality of life as we age, cause disability and frailty, and result in significant costs to health and social care services.
As more people are living longer with complex conditions and needs, robotic rehabilitation and assistive devices are being increasingly used for motor rehabilitation and assistance in daily living; in part due to the rising shortage of carers and occupational therapists. Rehabilitation is typically provided as a short- or medium-term treatment, while assistive devices are introduced to support activities of daily living and, more often than not, stay in the person’s permanent use. One potential challenge, however, is that assistive devices may shift agency and responsibility for rehabilitation away from the person, who may come to rely on the assistive device for support, rather than their own efforts. Engineers, computer scientists and psychologists therefore need to collaborate to study and understand how best to design assistive technology. The aim of the proposed research is to investigate whether and how assistive devices influence motivation and if they might be used as a motivational tool (e.g., by gradually providing less assistance) or augmented by motivational tools so as to aid rehabilitation processes in users with, for example, impaired mobility.
Complete a Postgraduate Research application form. Please state the title of the studentship, the main supervisor and select the Department of Department of Automatic Control and Systems Engineering. We encourage applicants to make informal enquiries to Prof. Dogramadzi at the Department of Automatic Control and Systems Engineering (email@example.com).
This studentship will be supported for 3.5 years with the student expected to submit their thesis by the end of this funding period, receiving: full maintenance stipend funded at UKRI levels for 3.5 years (in 2021/2022 this is £15,609); full UK tuition fees for up to 3 years (paid directly to the department); a £5000 Research Training Support Grant per year; and, £300 travel budget per year. The supervisory team recognises that the proposed research requires a mix of skills drawn from different disciplines, as reflected by the multidisciplinary nature of the supervisory team. We anticipate that the primary disciplinary orientation will be robotics, control and systems engineering, but the phd student will also gain training in relevant clinical knowledge and research methods.
Call for Events is now open! We're supporting Members and Expert Fellows to lead activities that explore aspects of TIPS in the Digital Economy. We will help to organise the activity with up to £5,000 to cover the associated costs.