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.
Entry requirements:
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. If English is not your first language you'll need IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent). For more information check out our full entry requirements.
Additional eligibility criteria:
- 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.
How to apply?
Click the green ‘Apply now’ button at the top of the BU page and complete the online application form. You can find further guidance about applying for a postgraduate research degree in our Postgraduate Research section
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