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    • Southampton
  • Full time
  • Recruitment

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  • Technology

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  • Researcher

Apply by: 2022-07-25

Research Fellow, IT Innovation

Published 2022-06-21

IT Innovation

Location:  Highfield Campus
Salary:   £31,406 to £35,326 per annum
Full Time Fixed Term for 6 months
Closing Date:  Monday 25 July 2022
Interview Date:   To be confirmed
Reference:  1866522FP

This exciting research post is part of a NERC UKRI-Japan funded Geodynamics project to investigate “slow moving earthquakes”. The project is a joint collaboration between the University of Southampton (UK) and the Japan Agency for Marine-earth Science and Technology (JAMSTEC).

The project uses an optical fibre as a chain of distributed sensors, which will provide information equivalent to a network of tens of thousands of sensors. By comparing differences and similarities among the clusters and periods of the registered activities along the fibre, very valuable information can be acquired. Distributed fibre acoustic sensing (DAS) is used to create a distributed sensor of seismometers as it provides a great deal of acoustic information relying on conventional optical fibre links conventionally used for telecoms. The collected data needs to be analysed and a classification system built.

This post will be based in Electronics and Computer Science and concentrate on the development of a classifier based on waveform pattern matching registered by the DAS system as deformation of the optic fibre and contextual information to identify relevant events.

The DAS systems have already been developed and data are already available to be analysed. The post will include two parts. An initial part will require to manipulate the existing data to transform them from their current compressed from into more usable format. Then, the second part, will be to identify the best method to use to classify the events (statistical, outlier detection and machine learning approaches will be considered) and to implement it. 

To join us on this exciting project you will need to have a PhD or equivalent professional qualifications and experience in data classification, preferably with a knowledge of natural phenomena.  

Informal enquiries may be made to Dr. Stefano Modafferi (sdm2d11@ecs.soton.ac.uk

Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We particularly encourage women, Black, Asian and minority ethnic, LGBT+ and disabled applicants to apply for this position. We are committed to improving equality for women in science and have been successful in achieving an Athena SWAN bronze award in April 2020. We give full consideration to applicants that wish to work flexibly including part-time and due consideration will be given to applicants who have taken a career break. The University has a generous maternity policy*, onsite childcare facilities

The University of Southampton is in the top 1% of world universities and in the top 10 of the UK’s research-intensive universities. The University of Southampton is committed to sustainability and being a globally responsible university and has recently been awarded the Platinum EcoAward.  This commits all of our staff and students to take responsibility for managing their activities to minimise harm to the environment.

 *subject to qualifying criteria

Application Procedure 
You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Lauren Ward (Recruitment Team) on +44 (0) 23 8059 2750, or email recruitment@soton.ac.uk. Please quote reference 1866522FP on all correspondence.