The
University of Kent is pleased to offer Ph.D. Studentships in Data Analytics for
Smart Healthcare. UK applicants are eligible to apply for the studentship.
University of Kent is pleased to offer Ph.D. Studentships in Data Analytics for
Smart Healthcare. UK applicants are eligible to apply for the studentship.
The
main aim of this Ph.D. research programme is to explore the development of
techniques for capturing and analysing patient-generated data.
main aim of this Ph.D. research programme is to explore the development of
techniques for capturing and analysing patient-generated data.
The
University of Kent is a public research university based in Kent, United
Kingdom, founded in 1965 and is recognised as a plate gla
University of Kent is a public research university based in Kent, United
Kingdom, founded in 1965 and is recognised as a plate gla
Applicants
must have a first degree or Master’s degree in Computer Science/Electronic
Engineering or related areas.
must have a first degree or Master’s degree in Computer Science/Electronic
Engineering or related areas.
Course
Level: Funding is available for the Ph.D. degree programme.
Level: Funding is available for the Ph.D. degree programme.
Study
Subject: Funding is available in Data analytics for smart healthcare at the
University of Kent.
Subject: Funding is available in Data analytics for smart healthcare at the
University of Kent.
Scholarship
Award: Funding is available at the current home rate of £4,121. There
will also be combined maintenance funding of £14,296.
Award: Funding is available at the current home rate of £4,121. There
will also be combined maintenance funding of £14,296.
Eligibility:
Looking for an excellent student with a strong first degree or Master’s degree
in Computer Science/Electronic Engineering or related areas relevant to the
Ph.D. topic. Experience in mobile sensing, machine learning, and data analytics
would be considered desirable.
Looking for an excellent student with a strong first degree or Master’s degree
in Computer Science/Electronic Engineering or related areas relevant to the
Ph.D. topic. Experience in mobile sensing, machine learning, and data analytics
would be considered desirable.
Nationality:
UK applicants are eligible to apply for the studentship.
UK applicants are eligible to apply for the studentship.
Entrance
Requirement:
Applicants must have first degree or Master’s degree in Computer
Science/Electronic Engineering or related areas
Requirement:
Applicants must have first degree or Master’s degree in Computer
Science/Electronic Engineering or related areas
Supporting
Material: On the application form, applicants will be asked to:
Material: On the application form, applicants will be asked to:
- -explain
their reasons for study/outline their research proposal (for research
programmes) - -provide
details/evidence of your qualifications - -provide
two academic references - -provide
other personal information and supporting documentation.
How
to Apply:
The mode of applying is online.
to Apply:
The mode of applying is online.
Application
Deadline: The application deadline is 6 June 2016.
Deadline: The application deadline is 6 June 2016.