Funding:  Fully funded (UK/EU/International students)

Project code: COMP4550220

Department: School of Computing

Start dates: October 2020

Closing date: 23 February 2020

Applications are invited for a 3-year PhD to commence in October 2020.

The Project

The PhD will be based in the Faculty of Technology, and will be supervised by Dr Jiacheng Tan, School of Computing and Dr Mel Krokos, School of Creative Technologies.

Candidates applying for this project may be eligible to compete for one of a small number of bursaries available; these cover tuition fees at the UK/EU rate for three years and a stipend in line with the UKRI rate (£15,009 for 2019/2020). Bursary recipients may be eligible for £1,500 for project costs/consumables.

The work on this project will involve:

  • Deep Learning (CNN-based) for object recognition and affordance detection
  • Object modelling and 3D point cloud segmentation
  • Semantic knowledge modelling

Entry requirements

General admissions criteria

You’ll need an upper second class honours degree from an internationally recognised university or a Master’s degree in an appropriate subject. In exceptional cases, we may consider equivalent professional experience and/or qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

Specific candidate requirements

Ideally, you should have a degree in the disciplines of artificial intelligence, computing, information technology or engineering. Experience in deep learning, computer vision or semantic modelling would be advantageous.

Find out more about the project, the Supervisors and how to apply

Funding Information

Funding applies to:

UK, EU and International students.

Application Deadline:

23 February 2020

Please see our website for how to apply:
Visit Website Add to list