Supervisory Team: Dr. Hansung Kim
Computer Vision is one of the most active areas where artificial intelligence (AI) is being used. This area is extremely expanding and getting a lot of interests and investments these days. Taking advantages of recent advancements in deep learning, active perception of an environment or human behaviours have shown significant improvement in building new knowledge and practical applications in our daily life.
The University of Southampton is ranked in the top 1% of universities worldwide, and the School of Electronics and Computer Science (ECS) is the leading department of its kind in the UK with a long tradition of interdisciplinary research. We actively encourage and support our PhD students to pursue their research and other activity within their fields of interest.
Visual scene understanding studies the task of representing a captured scene in a manner emulating human-like understanding of that space. Attaining this understanding is crucial for applications such as entertainment, robotics, smart home, security systems, healthcare, assisted living, etc. The student will investigate indoor 3D scene reconstruction and understanding challenges using state-of-the-art Ai technologies, aiming to demonstrate its potential contributions, applications, and versatility. Various vision sensors can be considered such as normal cameras, depth cameras and 360 spherical cameras. There can be a chance of collaborative research with BBC R&D or Institute of Sound and Vibration Research (ISVR) for application development in audio-visual scene understanding and reproduction.
All applicants are required to have a first or upper-second class honours degree (or equivalent). Candidate without a MSc or MEng in computer vision, computer graphics, machine learning or applied mathematics would have to provide strong justification that they would be able to handle the maths and programming necessary to complete a PhD in this field.
The essential selection criteria include:
- Prior knowledge in the areas of computer vision and machine learning (especially deep learning).
- Proficiency in one or more of C++ / Python / Matlab
- Ability to work independently or as part of a team.
The desirable selection criteria include:
- Project experience or working experience in the areas of computer vision and machine learning (especially deep learning)
- Experience in camera systems (vision camera, Kinect, 360 cameras, etc.).
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We aim to be an equal opportunities employer and welcome applications from all sections of the community.