AR Technology for Indoor Positioning Systems PhD

Updated: 3 months ago
Location: Cranfield, ENGLAND
Deadline: The position may have been removed or expired!

Cranfield University and the Centre for Digital Engineering and Manufacturing are seeking a high calibre candidate to undertake research leading to a PhD award.
This funded PhD opportunity provides the future field operative with the key contextual data overlaid in real-time to assist with indoor navigation in relation to key assets.  The research will develop a real-time system able to visualize essential information in a number of example use case demonstrations – for example: emergency response, crowd control, security and asset management.
Situational awareness is key to emergency response.  With additional sensor data and knowledge shared by other operators, Augmented Reality provides the ready means to enhance response times and link directly with digital assets.  The research will explore the potential of these technologies in a series of case study investigations.
The potential technology has cross-over potential for retail environments where consumer activity can be enhanced in real-time, with personalised advertising provided dynamically or specific navigation in purchasing scenarios. Read moreRead less


The aim of the PhD is to develop an AR solution that focuses on assisting the next generation of field operatives. The solution is expected to support a wide-range of scenarios that the field operative will be involved in such as:

  • Maintenance engineer – fault detection, status indication, beyond-visual sight enhancement
  • Security – thermal vision, crowd movement prediction, indoor navigation
  • Emergency responder – diagnostic data, medical records, specialist remote assistance

The research is expected to include many concepts and technologies: Internet of Things (IoT), big-data analytics, AI, AR/VR. Consideration should be given to these concepts and the scalability of these to enhance the viability of field operatives. The project should consider what information or data needs to be provided within the context of indoor navigation.

The AR solution will provide real-time support to the field operative in various areas such as a) information overlay, b) sensor integration, c) situational awareness and d) navigation. Each of these areas provide distinct benefits to the field operative and demonstrate the art of the possible with emerging technologies and embedded sensors.

  • Conduct a  literature review to identify best practice in AR
  • Identify suitable use cases for the AR platform
  • Construct an AR solution for the next generation of field operatives
  • Establish a set of common principles or approaches for AR-enhanced guidance for field operatives

At Cranfield, the candidate will be based at the Centre for Digital Engineering and Manufacturing , which hosts cutting-edge simulation and visualisation facilities. The student will have access to high-end computers for constructing the proposed solution. There will be relevant opportunities throughout the PhD to develop and demonstrate the research.

At a glance
  • Application deadline28 Feb 2022
  • Award type(s)PhD
  • Start date06 Jun 2022
  • Duration of award3 years
  • EligibilityUK
  • Reference numberSATM244

Entry requirements

Candidates should have a minimum of an upper second (2.1) honours degree (or equivalent) preferably in Computer Science/ Computer Vision / Mathematics / Informatics but candidates in other degrees related to Engineering or related quantitative fields would be considered. Candidates with an MSc degree in these disciplines will be desirable.


This is a funded PhD studentship. Students of any Fee Status (UK/EU & RoW) are eligible for the project.

About the sponsor

Sponsored by: Cranfield Industrial Partnership PhD Scholarships Scheme (CIPPS) (£19K stipend)

Cranfield Doctoral Network

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network.  This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

How to apply

If you are eligible to apply for this research studentship please complete the online application form.

For further information please contact Samuel Court .

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