Current Vacancies

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1. Research Associate in Signal Processing and Machine Learning for Microendoscopy Imaging

  • Role

    Research Associate

  • Project title

    Signal Processing and Machine Learning for Microendoscopy Imaging

  • Location

    Digital Communications (School of Engineering) / Queens Medical Research Institute, University of Edinburgh.

  • Line Managers

    Dr James R. Hopgood

  • Minimum qualification

    PhD in signal processing, machine learning, statistics, data science, physics or mathematics or a clearly related area, with a focus on image processing or similar.

  • Contract

    36 months (fixed term)

  • Salary

    £33,199 – £39,609 per annum.

  • Application deadline

    10th June 2019

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Project description:

This Research Associate (RA) position provides an exciting and unique opportunity 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 our new sensors that incorporate intensity and lifetime imaging. 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 contribute signal and image processing and machine learning expertise to this 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.

We will use spatial, temporal, and spectral dependencies of the sensor data and video-compression techniques to develop real-time algorithms for coding data at the sensor head. This will require understanding of coding an FPGA for on-board calculations. We will develop novel and robust multimodal algorithms for fluorescence detection and quantification of bespoke chemical imaging agents using techniques ranging from multi-target tracking to saliency detection and morphological component analysis.

We will also investigate hexagonal sampled data techniques to approximate the irregular sampling across the fibre-cores and develop this physical model of the fibre-core intensity image, to inform other image enhancement techniques including super-resolution methods.

Application Procedure:

For more detailed information, and to apply, visit the University of Edinburgh’s vacancy pages – search for Reference No. 047911

https://www.vacancies.ed.ac.uk/

For further information, please contact Dr James Hopgood: James.Hopgood@ed.ac.uk

2. PhD Studentship in Raman and Fluorescence Signals for Clinical Optical Imaging

  • Role

    PhD student

  • Project title

    Raman and Fluorescence Signals for Clinical Optical Imaging

  • Location

    School of Engineering, University of Edinburgh

  • Line Managers

    Dr Neil Finlayson; Prof Robert Henderson

  • Minimum qualification

    Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree.

  • Contract

    36 months (fixed term)

  • Salary

    Tuition fees + stipend available for Home students and EU students who have been resident in the UK for 3+ years.

  • Application deadline

    31st August 2019

Project description:

The optical sensing and imaging platform being developed by Proteus can provide ground-breaking dynamic sensing of pathological events in the distal lung of patients at the molecular level, which leads to significant healthcare improvement through rapid diagnosis, patient stratification and personalised drug therapy. The platform consists of both optical fibre-bundle and bench-top microscopy imaging systems, and time-resolved fluorescence/Raman spectroscopy systems.

As part of the University of Edinburgh’s commitment to the newly funded phase of this Proteus project we are looking to recruit a high-calibre postgraduate student to join this world-class team. In particular we are seeking engineering students with strong optical/biomedical qualifications and skills to explore the development of Raman and fluorescence lifetime imaging systems, time-correlated single photon counting sensors and signal processing techniques to address a range of disease-specific molecular signatures.  An interest in software, chemical biology and bio-photonics would be an advantage and experience in multidisciplinary research would also be beneficial.

The students will be supervised by Prof. Robert Henderson and Dr. Neil Finlayson.

Closing date: 31st August 2019 or until position filled

Application Procedure:

Visit the page on findaphd.com and send an email: Raman and Fluorescence Signals for Clinical Optical Imaging