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Fully-funded PhD Opportunity in Digital Twinning (Academic Associate)

Nottingham Trent University - Department of Engineering

Qualification Type: PhD
Location: Nottingham
Funding for: UK Students, EU Students
Funding amount: £28,331 to £32,817 per annum (pro rata)
Hours: Part Time
Placed On: 22nd October 2019
Closes: 17th November 2019
Reference: 006960

Additional information - fixed term contract for 5 years, 18.5 hours per week and the above salary will be pro-rata 

We are looking for an Academic Associate to join the Department of Engineering in a joint role comprising 50% of time in research leading to a PhD, and 50% of time supporting our teaching.  The PhD will be developing a digital twin of a human being.

Nottingham Trent University has been awarded ‘University of the Year’ (Guardian Newspaper) in 2019, ‘Modern University of the Year’ (Sunday Times) in 2018, and ‘University of the Year’ (Times Higher) in 2017. It is renowned for leading edge research, strong links with industry and its excellent teaching that shape lives and society.

The Department of Engineering launched new programmes in Biomedical Engineering, Electronic Engineering and Sport Engineering in 2017 and a new programme in Mechanical Engineering in 2018.

We are seeking to appoint an enthusiastic and talented Academic Associate to contribute to research and teaching in the Department of Engineering. The academic associate post is part-time (0.5 FTE) and in addition, you will be required to register for a PhD part-time (tuition fees paid) for the duration of the 5-year post.

This is an exciting opportunity to help shape new developments in both research and teaching. Our plans include parallel investments in a number of other academic posts and a new Medical Technology Research Centre. The successful candidate will have the opportunity to develop research and teaching capability in a new dedicated Engineering building opened in October 2019.

You can apply on-line using links from Please submit a single document to include a full CV and a Covering Letter addressing your suitability for the role outlined in the associated Job Description and Person Specification. If the 1MB file size restriction makes this difficult or impossible, please email all your supporting documentation to

PhD Title: Digital twin for human comfort analysis

Director of Studies: Dr. Ben Simpson

Duration: 5 years, part time.

Contact: 0115 84 83846,

The PhD project will develop a digital human twin for analysing comfort. The digital twin model will make use of engineering software such as computational fluid dynamics, finite element analysis, vibrational modelling tools, in combination with published comfort models.

Key comfort factors to be accounted for may include temperature, humidity, air movement, age of air, smell, vibration, noise and posture. The digital twin should account for some human physiology including the thermal regulation system and muscle fatigue.  Furthermore, the twin will need to take into account physiological mechanisms for an individual when being passive (sitting still) or active (walking, cycling).

The application of digital human twins are far reaching, whether it is designing more comfortable transport, improving healthcare or in the pursuit of improved performance of athletes.

This is a re-advertisement applicants that applied for job number 06680 need not apply.

This role does not meet the minimum requirements set by UK Visas & Immigration to enable sponsorship of migrant workers.  Therefore, we cannot progress applications from candidates who require sponsorship to work in the UK.

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