|Salary:||£27,116 to £30,497 per annum|
|Placed On:||14th January 2022|
|Closes:||11th February 2022|
Previous candidates need not apply.
Full time, fixed term contract for 3 years.
We are seeking a Software Engineer or Computer Scientist to support the research activities and implementation of machine learning systems of the Warwick Machine Learning Group led by Prof. Theo Damoulas.
You will be responsible for the further development and maintenance of the backend and client-facing API of the UrbanAir and Odysseus projects at The Alan Turing Institute (https://www.turing.ac.uk/research/research-projects/london-air-quality, https://www.turing.ac.uk/research/research-projects/project-odysseus-understanding-london-busyness-and-exiting-lockdown). These involve analysis of multiple large-scale and heterogeneous datasets capturing air quality, pedestrian mobility, and transportation in near real-time over the city of London to better understand air pollution and activity. Our platform enables targeted interventions for effective policy-making and delivers live machine learning forecasts and analysis to the Greater London Authority (GLA) and Transport for London (TfL) via systems deployed to Microsoft’s Azure cloud platform. Candidates should expect to have the following technical skills:
You will be in possession of a good honours degree (or equivalent qualification) in Computer Science (2.1 or above). You should have strong programming skills with past experience on some of the listed technologies and systems.
You should submit with your application a C.V. and a short statement outlining your suitability for the post.
Interview Date: TBC.
Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the Apply button.
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