09/12/2019
The Human Resources Strategy for Researchers

Extracting Topology from Smartphone Motion Sensors (ET-SMS) (BUCKLEYO_U20SCIEP)

This job offer has expired


  • ORGANISATION/COMPANY
    University of East Anglia
  • RESEARCH FIELD
    Computer scienceOther
    MathematicsOther
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    30/01/2020 23:00 - Europe/London
  • LOCATION
    United Kingdom › Norwich
  • TYPE OF CONTRACT
    Other
  • JOB STATUS
    Other
  • OFFER STARTING DATE
    01/10/2020

Smartphones are becoming an increasingly vital and significant part of our everyday lives, and their popularity continues to grow. A study by the Office of Communications (Ofcom) [1] shows that two thirds of all adults in the UK own a smartphone, compared to only 39% in 2012. This research highlights how essential smartphones are becoming in our everyday lives, as they now considered to be the most important device for connecting to the Internet, even ahead of a laptop.

It is not only the ubiquity of these devices that continues to grow. Modern smartphones continue to evolve in terms of their complexity, and it is now normal for these devices to contain a number of sensors that are capable of observing the movement of these devices in the environment in which they are moving. The inclusion of a gyroscope and accelerometer in a smartphone mean that it is possible to track the motion of the device in space.

This PhD project will make use of these motion sensors to map environments and buildings. In addition to simply mapping the spaces, this project will look to extract contextual information about the features of the environment (e.g. doors, stairs, lifts, etc.). This data will then be reconstructed to create virtual representations of the environment using information visualisation techniques and potentially introducing augmented reality overlays.

This project will use a variety of skills including:

  • Software development
  • Information visualisation
  • Data analytics
  • Machine learning
  • Augmented Reality

For any enquiries please contact the primary supervisor (o.buckley@uea.ac.uk).

Funding notes:

This PhD project is in an EPSRC studentship competition within the Faculty of Science. Funding is for 3.5 years and will be available to successful candidates who meets the UK Research Council eligibility criteria. These requirements are detailed in the Research Council Training Grant Guide which can be found at https://www.ukri.org/files/legacy/publications/rcuk-training-grant-guide-pdf/ (see Annex 1 for Residential Guidelines for Research Council Studentships). In most cases UK and EU nationals who have been ordinarily resident in the UK for 3 years prior to the start of the course are eligible for a full-award. Other EU nationals may qualify for a fees only award.

Offer Requirements

Specific Requirements

Acceptable first degree in Computer Science or related discipline.

The standard minimum entry requirement is 2:1.

Work location(s)
1 position(s) available at
University of East Anglia
United Kingdom
Norwich
NR4 7TJ

EURAXESS offer ID: 471123

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