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Deep Learning Computer Vision/Graphics and Drones (Advert Ref: FAC19/EE/CIS/SHUM)

  • Full or part time
  • Application Deadline
    Sunday, December 01, 2019
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

We are seeking a motivated person interested in a doctoral study with a fully-funded PhD studentship. With the training provided, the PhD will research, implement solutions, and produce research papers in the exciting areas of computer vision/graphics and/or drone controls. He/she has access £124,000 worth of equipment to carry out these goals. Extra support will be provided by the supervisor and other PhDs in the team.

The project will build around the use of deep learning technologies for advanced computer vision/graphics applications, and optionally, takes the advantage of the use of multiple drones. Examples of applications include, but not limit to, 2D to 3D reconstruction, recognition, monitoring.

The PhD will be supervised by Dr. Hubert Shum (, who is the Director of Research and Innovation in the Department. He organized international conferences such as BMVC and ACM SIGGRAPH MIG, and is an Associate Editor of CGF and a Guest Editor of IJCV.

The job is based in the Department of Computer and Information Sciences, located in a new £7m purposefully designed building. It is placed by the Times Higher Education World Ranking 2019 in the top 250-300 for computer science, and is one of the largest computer science departments in the UK.

Please note eligibility requirement:
• Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
• Appropriate IELTS score, if required.
• Applicants cannot apply for this funding if currently engaged in Doctoral study at Northumbria or elsewhere.
• Desirable: experience in one or more modern programming languages.
• Desirable: experience in one or more of the following areas: computer vision/graphics, deep learning, drone/robotic controls, human motion/surface modelling.

For further details of how to apply, entry requirements and the application form, see

Please note: Applications that do not include a research proposal of approximately 300 words (not a copy of the advert), or that do not include the advert reference (e.g. FAC19/EE/CIS/SHUM) will not be considered.

Deadline for applications: 1 December 2019

Start Date: 1 March 2020

Northumbria University takes pride in, and values, the quality and diversity of our staff. We welcome applications from all members of the community. The University holds an Athena SWAN Bronze award in recognition of our commitment to improving employment practices for the advancement of gender equality and is a member of the Euraxess network, which delivers information and support to professional researchers.

Funding Notes

The studentship is available to Students Worldwide, and covers full fees and a full stipend, paid for three years at RCUK rates (for 2019/0, this is £15,009 pa).

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