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Research Associate in Computational Imaging

Heriot-Watt University - School of Engineering and Physical Sciences

Location: Edinburgh
Salary: £32,236 to £39,609
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 4th December 2018
Closes: 7th January 2019
Job Ref: IRC16252

This research position will investigate Bayesian uncertainty quantification tools for linear inverse problems across a range of scales. In the first instance this research will be primarily illustrated by computational imaging applications involving data under-sampling, high (non-standard) noise sources and observed phenomena which are non-stationary. While most existing uncertainty quantification tools simply measure image quality, it is often unclear how such measures translate into uncertainty about the information of interest, e.g., the presence or movement of an object or anomaly, as intended in this work. Typical application scenarios include hyperspectral imaging, low-photon imaging/ranging (single-photon Lidar) and radiation monitoring (nuclear safety).   

The researcher will be supervised by Prof. Yves Wiaux in the Institute for Sensors, Signals and Systems along with Prof. Steve Mclaughlin and Dr Yoann Altmann. They will work closely with other UDRC researchers and interact regularly with our project partners in the UK Defence Science and Technology Laboratory (Dstl) and other industrial companies.

Key Duties and Responsibilities include:

  • Co-ordinating his or her research work within the framework defined by the project and investigator. (65% of time).
  • Dissemination of research findings through internal reports, conference proceedings, and journal publications. This will include domestic and international travel and support of meetings at the University of Edinburgh and other UDRC Consortium locations and Dstl (Porton Down) (20% of time).
  • Interact with other researchers who are working on the UDRC project and proactively engage with Dstl and industrial project partners. Organise his or her own work and time in order to meet the deadlines and milestones as defined within the project (15%)
  • Work with the line manager to define and plan a programme of relevant research work and then to produce publishable results within appropriate timescales
  • Work independently to plan the schedule of tasks to ensure that work of the projects progresses according to agreed overall timetable

This position is available for 30 months.

The successful candidate will have a good undergraduate degree and a PhD in Electrical Engineering, Applied Mathematics, Computer Science, Physics, or related discipline, with a focus on signal processing/ Data Science or closely related area.

For application details and further information please go to:

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