Queen’s University Belfast is a driver of innovation based on our talented, multinational workforce. Throughout the University, our academics are collaborating across disciplines to develop new discoveries and insights, working with outside agencies and institutions on projects of international significance. We are connected and networked with strategic partnerships across the world, helping us to expand our impact on wider society locally, nationally and globally. The University is committed to attracting, retaining and developing the best global talent within an environment that enables them to realise their full potential.
Collaborating with a world-learning industrial partner, we are recruiting a self-motivated PhD student for “Artificial Intelligence for Vision Based Navigation”. Traditional geolocalisation techniques (e.g., GPS) suffers weak signal or precision decrease in some environments, e.g., indoor, or is denied in certain strict situations. Vision-based information is easy to capture only with a simple and low-cost device, but also with strong pattern recognition and semantic sensing power armed by artificial intelligence methods. Therefore, how to utilize vision-based information to localize and navigate in the above situations is a challenging research topic but potentially has high impacts on many real-world applications. The goal of this Ph.D. project is to use vision-based information for localization and navigation with artificial intelligence methods, specifically, deep learning technique.
Benefits
- 3.5-year full tuition fee and stipend supported by EPSRC DTP scholarship (around £19,336 per year), plus sponsor company additional top-up (£5,400 per year)
- Sufficient hardware resource
- Working within a vibrant research and engineering team; Having the opportunity to convert your research outputs to the impact on the real-world applications; Having the opportunity to conduct 1 visit per year to the industrial partner
Requirements
- To obtain EPSRC DTP scholarship, applicants should be either an ordinary UK resident or those EU residents who have lived permanently in the UK for the 3 years immediately preceding the start of the studentship. Non-UK residents who hold EU residency may also apply but if successful may receive fees only
- Master's degree or expected to obtain it soon in computer science, engineering, mathematics, or related fields (outstanding student with prestigious Bachelor’s degree can also be considered)
- Solid mathematics knowledge and programming skills
- Prior knowledge in the areas of computer vision and machine learning (especially deep learning)
- Real-world project experience or working experience in the areas of computer vision and machine learning (especially deep learning) is plus
For further information please contact Dr Yang Hua (
[email protected]) and Prof Neil Robertson (
[email protected]).
The University is committed to equality of opportunity and to selection on merit. We welcome applications from all sections of society and particularly from people with a disability.
