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PhD Studentship: The Dementia Assistive Smart Kitchen (DASK): The Development of Ambient Intelligence Systems for Independence in the Home (AUNGHU20SCIEC)

University of East Anglia - Computing Science

Qualification Type: PhD
Location: Norwich
Funding for: UK Students, EU Students
Funding amount: £15,009 per annum
Hours: Full Time
Placed On: 9th December 2019
Closes: 30th January 2020

Project title:  The Dementia Assistive Smart Kitchen (DASK): The Development of Ambient Intelligence Systems for Independence in the Home (AUNGHU20SCIEC)

Start date:  October 2020

No. of positions available: 1

Supervisor:  Dr M Aung

Project description: 

Artificial Intelligence combined with the Internet of Things has led to intelligent monitoring in everyday settings. This emerging field of Ambient Intelligence has wide-ranging benefits particularly in domestic care. The successful candidate will lead the development of the Dementia Assistive Smart Kitchen. This system will sense physical events actioned by people with dementia and automatically determine whether an intended task is unsuccessful, thus triggering corrective interventions for greater independence and safety.

This project will be conducted under the supervision of Dr Min Hane Aung in the School of Computing Sciences and within the Norwich Electronic Assistive Technology Home at the University of East Anglia. The successful candidate will gain valuable experience in several transformative areas of computer science.

Applicants should have some background in machine learning, computer vision and/or machine listening, ubiquitous sensing or other related fields. Experience in human-computer interaction and digital health is also desirable.

For more information on the project’s supervisor, please visit: https://people.uea.ac.uk/min_aung

Type of programme: PhD

Studentship length: funding available for 3 years

Person Specification: 

Entry requirements: acceptable first degree Computer Science or Computing Related Engineering Degree.

The standard minimum entry requirement is 2:1.

Funding notes: 

Competition funded. Funding is available for 3 years.

This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK/EU applicants and comprises home/EU tuition fees and an annual stipend of £15,009 for 3 years.

Overseas applicants may apply but they are required to fund the difference between home/EU and overseas tuition fees (which for 2019-20 are detailed on the University’s fees pages at https://portal.uea.ac.uk/planningoffice/tuition-fees.

Please note tuition fees are subject to an annual increase.

   
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