Research Assistant in Multi-target Tracking and Bayesian Intent Prediction (Part Time, Fixed Term)
A position exists, for a Research Assistant in the Department of Engineering to work on developing novel algorithms for multi-target tracking and intent prediction for complex dynamically changing environments, degraded sensor accuracy (for example, due to countermeasures employed by the tracked objects) and evasive targets that undertake manoeuvres to undermine the tracking performance or mask malicious intent. This is part of a project funded by the Defence Science and Technology Laboratory (Dstl) through the MOD WSRF framework.
The post holder will be located in Central Cambridge, Cambridgeshire, UK.
The key responsibilities and duties are to develop and evaluate intent and anomaly detection algorithms for threat detection of sUAS using radar data. This will entail analysing relatively large amounts of recorded data and working closely with Aveillant/THALES and Dstl. Due to the nature of the work, only UK, EU and NATO countries nationals might be considered for this post.
The skills, qualifications and experience required to perform the role are a) a very good first degree in engineering, computer science or a closely related field, and hold a Masters in Statistical Signal Processing, statistics, mathematics, Machine Learning or a closely related field, and b) demonstrable research experience in the areas (one or more) of tracking, intent prediction, Bayesian inference, radar, and sensor data fusion.
It is expected that candidates will have solid programming/modelling experience in an appropriate software tool or programming language, e.g., Matlab/Python/C++.
The successful candidate should exhibit good oral and written communication skills and have experience both in working in a team and managing their own workload. The ability to effectively liaise with Dstl and WSRF industrial partners is highly desirable.
Salary Range: Research Assistant: £32,296 - £34,866 (pro-rata)
Fixed-term: The funds for this post are available until 31 March 2025 in the first instance.
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Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. 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 submit your application by midnight on the closing date.
If you have any questions about this vacancy or the application process, please contact Lina Zvaginyte -Bagociene at control-sigproc-divf@eng.cam.ac.uk or +44 (0) 1223 332711.
Please quote reference NM44097 on your application and in any correspondence about this vacancy.
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