Back to search results

PhD Studentship: Trustworthy Autonomous Systems in Health (TASH)

University of Southampton

Qualification Type: PhD
Location: Southampton
Funding for: UK Students, EU Students, International Students
Funding amount: £17,668 tax-free per annum for up to 3.5 years
Hours: Full Time
Placed On: 20th March 2023
Closes: 31st August 2023
 

As advances are made in Artificial Intelligence (AI), the technology is being applied to health-related problems. How do we evaluate the trustworthiness of these systems in the health context? This project will push the boundaries of our understanding of trustworthy autonomous systems in health through a mix of computer science and sociotechnical research, driven by the implementation of a real system. The project will develop and expand an existing autonomous system for early detection of deteriorating health in hospital patients, using safety, reliability and acceptability of a machine learning clinical deterioration score (CARDS) in comparison to the existing extensively used basic Early Warning Score (NEWS2).  Using this system, and existing trustworthy autonomous frameworks, the project will first develop a further understanding of the healthcare ecosystem into which the system will be deployed along with the practical, professional and societal hurdles to its implementation. The project will then identify variations and extensions required by medical autonomous trustworthy systems leading to the development of a framework for trustworthy systems, focused on the specific needs of the health ecosystem, including organizational requirements, clinical interactions, user interfaces and regulatory bodies, etc.

Working within the Southampton Biomedical Research Centre, the project sits within a world-leading digital ecosystem centred around translating cutting-edge tools and technologies to improve patient outcomes. The University of Southampton boasts a nationally leading compute cluster. The University Hospital Southampton is recognised as a global digital exemplar. The project will implement and test AI techniques including what trustworthiness means, on rich, real-world patient data. The CARDS algorithm itself has been developed by collaborators in the University of Cambridge who will also be supporting this work. 

If you wish to discuss any details of the project informally, please contact Professor Adriane Chapman, Digital Health and Biomedical Engineering Research Group, Email: Adriane.Chapman@soton.ac.uk Web page: https://www.southampton.ac.uk/people/5xhdw9/professor-age-chapman

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honour degree, or its international equivalent) in one of the following related subject areas:

  • Computer Science
  • Data and Information Science
  • Digital Health
  • Artificial Intelligence / Machine Learning
  • Bioengineering (or Biomedical Engineering)

Closing date: applications should be received no later than 31 August 2023 for standard admissions, but later applications may be considered depending on the funds remaining in place. Please apply once you are ready and do not leave your application to the last minute because the funding allocation takes place every couple of months.

Funding: For UK students, Tuition Fees and a stipend of £17,668 tax-free per annum for up to 3.5 years.

Applications should include:

Research Proposal outlining how you would undertake the project

Curriculum Vitae

Two reference letters

Degree Transcripts/Certificates to date

For further information please contact: feps-pgr-apply@soton.ac.uk

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

PhD tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
 
More PhDs from University of Southampton

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge