Development of AI techniques for intelligent image analysis

In the past decade deep learning (DL) based artificial intelligence (AI) techniques have showed unprecedented success in various applications, especially computer vision tasks. There are still many challenges to be addressed towards intelligent image analysis. It is imperative to accelerate new innovations in machine learning to push forward what is possible in terms of image analysis techniques. This 3 year project aims to develop new AI techniques, including but not limited to meta learning, reinforcement learning and generative models, that can be used for the analysis of big data primarily in the format of images. The newly developed techniques will be evaluated by using biomedical and other image datasets to demonstrate its effectiveness.

The successful PhD candidate will benefit from working with a multidisciplinary team in which there exists extensive experience in the areas of computer science, image processing, high performance computing, mathematics, and medicine. All postgraduate students undertake the PGR Development Programme which aims to enhance their skills for a successful research experience and career. They are required to maintain an online record of their progress and record their personal and professional development throughout their research degree. The 1st Year Development Workshops encourage inter- and cross-disciplinary thinking and identify and develop the knowledge, skills, behaviours and personal qualities that all students require. In the 2nd year all students take part in a Poster Day to provide an opportunity to present their research to a degree educated general public, and in the 3rd year students complete a career development module. Other online training, such as ‘Managing your supervisor’ and ‘Thesis writing’ is provided centrally.

The Institute of Ageing and Chronic Disease is fully committed to promoting gender equality in all activities. In recruitment we emphasize the supportive nature of the working environment and the flexible family support that the University provides. The Institute holds a silver Athena SWAN award in recognition of on-going commitment to ensuring that the Athena SWAN principles are embedded in its activities and strategic initiatives.

The funding conditions mean that this project is only open to UK and EU students who have lived in the UK for 3 years prior to the start of their PhD (this includes those who have been studying in full time education in the UK). See the Education (Fees and Awards) Regulations 1997 and subsequent amendments, covering England, Northern Ireland, Scotland and Wales. (https://www.epsrc.ac.uk/skills/students/help/eligibility/ )

The successful candidate should have, or expect to have an Honours Degree at 2.1 or above (or equivalent) in Mathematics, Engineering, Physics or Computer Science. It is essential to have good background knowledge in mathematics, machine learning, computer programming (e.g., Matlab, Python or C++), and signal/image processing plus a proactive approach to their work. Candidates whose first language is not English should have an IELTS score of 6.5 or equivalent.

To apply please send your CV and a covering letter to Dr Zheng ([Email Address Removed]) with a copy to [Email Address Removed]

Interviews are expected to take place in w/c 28 May 2018