PhD Studentship Evaluation of Variations in Clinical Staff Performance Using Reliability Engineering and Computer Vision

International students are invited for a PhD scholarship in computer vision at The University of Nottingham. The funds for this position are available for three years. Potential candidates should apply before October 24, 2018.

Aim: To develop methods to determine the causes and mitigate the impact of variations in clinical staff performance on healthcare safety and efficiency

A significant obstacle to high quality performance of healthcare services (NHS in the UK) is the presence of large unwanted variations which can lead to inefficient usage of hospital resources and even harm to patients. Different clinical teams perform differently due to a number of factors such as clinical knowledge and skills, team work, resources, environment, leadership and culture. Cost savings of 5bn per annum could be achieved in the NHS if most hospitals could match the performance of those in the better half.

Automated analysis of performance of clinical teams is an unmet need in healthcare, and a solution to this would provide a step change in performance monitoring, enabling clinicians to reduce error, improve patient outcomes and productivity. These are key goals in the current times when healthcare needs are expanding, becoming more complex, and resources are constrained.

This is an exciting multidisciplinary project with expertise in healthcare, reliability engineering and computer vision. The project will develop methods for probabilistic modelling of causes and consequences of variations in clinical staff performance. Clinical process simulations will be used to evaluate reliability and efficiency of process outcomes when a number of different variations occur. Knowing when an undesirable variation has occurred will help to predict its influence on patient outcomes, to search for the best remedial action and react to the current situation. The method will be applied to the field of aseptic techniques and processes carried out in an operating theatre.

Summary: Open to UK/EU/overseas students. The length of the project is three years. No funding available but students can apply at

Entry Requirements: Starting December 2018, we require an enthusiastic graduate with a 1st class degree in engineering, science, maths or a relevant discipline, preferably at Masters level, or an equivalent overseas degree (in exceptional circumstances a 2:1 degree can be considered).

For any enquiries please emailRasa Remenyte-Prescott (

When applying for this studentship, please include the reference number (beginning ENG) within the personal statement section of the application. This will help in ensuring your application is sent directly to the academic advertising the studentship.

This studentship is open until filled. Early application is strongly encouraged.


Get latest scholarships via your email! It's free!
Remember to check your email and active the subscription.
You can unsubscribe any time.
Copyright © 2015 All Right Reserved.