Lecturer in Machine Learning for Healthcare
Department of Electrical & Electronic Engineering
Salary: £40,792 to £48,677 per annum
Post Type: Full Time
Closing Date: Friday 17 May 2019
The University offers a unique opportunity for an individual with outstanding research and leadership in Machine Learning for Digital Healthcare to join the Centre for Vision, Speech and Signal Processing (CVSSP). The successful candidate is expected to build a research project portfolio to complement existing CVSSP strengths.
We now seek to appoint an individual with excellent research track-records and leadership potential who can develop the existing activities of CVSSP and exploit the synergetic possibilities that exist within the centre, across the University and regionally with UK industry. You will possess proven management and leadership qualities, demonstrating achievements in scholarship and research at a national and international level, and will have experience of teaching within HE.
CVSSP is one of the primary centres for AI and Audio-Visual Machine Perception in Europe with over 150 researchers, a grant portfolio of £24M and a track-record of pioneering research leading to technology transfer in collaboration with UK industry. Related to this post CVSSP, in collaboration with the Surrey Centres for Clinical & Sleep Research, has recently been awarded £5M for ‘Engineering Integrated Dementia Care’ by the UK Dementia Research Institute, and £1.2M equipment funding to support research in sensor networks to monitor & measure people for healthcare in the community. CVSSP forms part of the Department of Electronic Engineering, recognised as a top department for both Teaching and Research: surrey.ac.uk/ee
Closing date for applications: 17th May 2019
For an informal discussion, please contact Professor Adrian Hilton, Director of CVSSP (email@example.com). Further details of CVSSP: surrey.ac.uk/cvssp An application pack with further information can be downloaded from, surrey.ac.uk/jobs
For more information and to apply online, please download the further details and click on the 'apply online' button above.
We acknowledge, understand and embrace diversity.