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Research Fellow (Machine Learning for Remote Sensing)

Agents, Interactions & Complexity

Location:  Highfield Campus
Salary:   £30,942 to £33,797 per annum
Full Time Fixed Term until 04/11/2020
Closing Date:  Thursday 05 December 2019
Interview Date:   To be confirmed
Reference:  1199319FP

Applications are invited for a Research Fellow position at the University of Southampton. You will take up a leading role in a pilot project funded by the SPRINT Programme. The post is full time fixed term until 04/11/2020 in the first instance, with the potential for extension depending on the availability of funds. The post is due to start as soon as possible.

The role will involve the development of software solutions in collaboration with GTS Ltd to extract insights from satellite data and demographic data from different regions in Asia and Africa, in order to determine the most viable locations for the deployment of renewable energy production assets and mobile phone cell towers. As such, the project will involve a strong element of applied research, whereby we will aim to exploit the latest advances in deep learning and computer vision to generate accurate predictions of energy output, local demographic patterns, and other environmental parameters.

It is essential you have a PhD or equivalent professional qualifictions and experience in machine learning and computer vision and in addition your primary research area should be within Machine Learning, Deep Learning, Computer Vision, Remote Sensing, and GIS. You will have strong coding skills as the core work will involve developing machine learning and optimisation algorithms (Python, Java, Django, Javascript, TensorFlow, AWS).

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

This role will involve some elements of administrative duties including but not limited to the organisation of  events (e.g., workshops with GTS and clients), and supporting GTS in client meetings through the production of presentation materials and contributions to their website.

You will join an internationally renowned and multi-disciplinary team across the University of Southampton (where this post is based). The team won several best paper awards for its world-renowned research. The project is led by Prof. Sarvapali Ramchurn, Director of the Centre for Machine Intelligence, in collaboration with Prof. Jadu Dash from the Department of Geography.

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 Hannah Farrance (Recruitment Team) on +44 (0) 23 8059 2507. Please quote reference 1199319FP on all correspondence.

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

Further details:

We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.


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