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PhD Studentship: A Semantics Framework for Authoring Context-aware Augmented Reality Applications

Bournemouth University - Faculty of Science & Technology

Qualification Type: PhD
Location: Bournemouth
Funding for: UK Students, EU Students, International Students
Funding amount: £15,450 maintenance grant per annum
Hours: Full Time
Placed On: 23rd September 2021
Closes: 31st October 2021

Lead Supervisor name: Dr Fred Charles

The project aims to establish a framework for abstracting real-world data and linking semantics with a software development engine for authoring context-aware Augmented Reality (AR) applications. This match-funded PhD project between Bournemouth University (academic partner) and Phantom Technology Ltd. (industry partner) will investigate various state-of-the-art semantic labelling methodologies to segment point datasets into meaningful scene and object classifications. The goal for this project is to enhance the development process for authoring context-aware mobile AR applications, by exploring methods of accounting for real-world uncertainties using data modalities provided by the proprietary software developed by Phantom Technology.

During the course of this PhD, the solutions will be integrated with the PhantomEngine software development kit (SDK), as part of Phantom Technology’s proprietary AR engine. AR prototypes will be developed to test the efficacy of the solutions composed and will be integrated with mobile AR gaming projects (developed by Phantom Technology’s current industrial partners) with a potential of reaching commercial users.

The student will be in a vibrant academic environment which will be stimulating both in terms of the research work to be carried but also on a social level.

View the full project description (pdf 175KB).

What does the funded studentship include?

Funded candidates will receive a maintenance grant of £15,450 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.

Funded Studentships are open to both UK/EU and International students unless otherwise specified.

Eligibility criteria

Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:

  • Outstanding academic potential as measured normally by either a 1st class honours degree (or equivalent Grade Point Average (GPA) or a Master’s degree with distinction or equivalent
  • An IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent) for candidates for whom English is not their first language and this must be evidenced at point of application.

Add in any specific entry requirements Additional Eligibility:

  • An independent engineer who’s comfortable working in a small industrial team alongside their time at the university
  • 4+ years of total programming experience in research or industry
  • Advanced software engineer with the ability to write production-quality object-oriented code in C++ or C#
  • A strong maths or physics background
  • Good oral and written communication
  • Practical experience working with machine learning or NLP
  • Interest in emerging technologies and commercialisation.

Closing date: The first call for applications will close on 31st October 2021.

For further information on how to apply click the ‘Apply’ button below or email

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