Upcoming Events

4th International Workshop on Image Processing Techniques and Applications Jul 22, 2019 - Jul 23, 2019 — Centre for Mathematical Imaging Techniques (CMIT), University of Liverpool, England
Medical Image Understanding and Analysis Conference 2019 Jul 24, 2019 - Jul 26, 2019 — University of Liverpool, England
Neuroimaging in diseases that cause dementia Aug 22, 2019 - Aug 23, 2019 — King’s College Conference Centre, University of Aberdeen
IEEE International Ultrasonics Symposium 2019 Sep 06, 2019 - Sep 09, 2019 — Scottish Events Campus, Glasgow
2019 UK PET Chemistry Meeting Sep 09, 2019 09:00 AM - 05:45 PM — Michael Smith Building, University of Manchester

Vacancy: Research Associate in Signal Processing and Machine Learning for Microendoscopy Imaging in Edinburgh

A Research Associate position is available at University of Edinburgh, to develop signal and image processing and machine learning algorithms for a breakthrough microendoscopy imaging system

Real-time microendoscopy has been dominated and limited to intensity mode imaging due to existing detector technology. This limitation has been overcome using new sensors that incorporate intensity and lifetime imaging, developed as part of the EPSRC-funded Proteus project. This technology enables multidimensional high content high-resolution real-time sensing and imaging of dynamic biological processes and is poised for disruptive healthcare impact.

The research associate will aid future deployment of these systems into clinical environments by addressing issues of transmitting high-volumes of data from the sensor head, improving image modelling across fibre-cores and developing algorithms for in-situ quantification of imaging targets such as cellular activation, enzyme kinetics, and drug-target engagement. The role involves contributing signal and image processing and machine learning expertise to the project by developing, to near-clinical readiness, novel state of the art signal processing and machine learning algorithms to improve the quality of the data received from a sensing system called Kronoscan. There will be a strong emphasis on developing robust real-time algorithms.

The successful candidate will be a member of the Institute for Digital Communications in the School of Engineering and be jointly based at the Queens Medical Research Institute (QMRI) at the University of Edinburgh. A significant proportion of time will be spent in the QMRI developmental interventional technologies (DIT) facility with daily interaction with clinicians, biologists, chemists, physicists and engineers.

The post is offered on a full time fixed term period for 36 months.

Informal enquiries are encouraged to James.Hopgood@ed.ac.uk

For further information see https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=047911

Closing date: 10th June 2019