Fixed-term: The funds for this post are available until 30 September 2020 in the first instance.
A Research Assistant position is available in the Department of Computer Science and Technology (the “Computer Laboratory”) at the University of Cambridge to work within the SmartCambridge programme (https://www.cl.cam.ac.uk/~ijl20).
The appointed person will work in an interdisciplinary team reporting to Dr Ian Lewis, the programme’s Director.
We are deploying urban sensors and collecting and analysing that data in real-time at considerable scale across the Cambridge region, providing a platform for research into the digital architecture of future cities. The practical effort extends from building sensor networks to deploying neural network-based intelligent sensors categorising traffic flows in real-time. This work is driven by global interest in the challenges presented by large but rapidly growing cities around the world, for example in traffic management, air quality, power and water management, garbage collection and even social care and policing. The computer science aspects of this multi-disciplinary field are being revolutionised by the massive densification of real-time sensor data (aka The Internet of Things) and the potential to exploit AI at each level of the architecture.
We are looking for an enthusiastic researcher to join us in collecting and analysing (in real-time) new types of sensor data and deriving new insights and techniques using our data. The person we appoint will be largely self-directed, working within an enthusiastic but fairly busy team.
The candidate will be expected to have a first degree in Computer Science or a closely aligned subject, although we are not necessarily looking for existing experience in data analysis, networks, or real-time programming, although this would be a bonus. We do seek a candidate with strong programming skills. Experience with scripting languages, data analysis tools, and databases would be useful but are not required.
Good knowledge of spoken and written English and communication skills are important.
We expect to notify those shortlisted for interview as soon as possible after the closing date of 11 July, and conduct interviews shortly thereafter. We would like the successful candidate to start work as soon as possible.
Informal enquiries should be directed to Ian Lewis (email@example.com).
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure you upload your Curriculum Vitae (CV) and a covering letter in which you should explain which particular aspects of urban sensor data research are of interest to you. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please quote reference NR19501 on your application and in any correspondence about this vacancy.
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