Research Assistant/Associate in Multi-target Tracking and Bayesian Intent P
at University of Cambridge
Cambridge, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 24 Jan, 2025 | GBP 44263 Annual | 30 Oct, 2024 | N/A | Good communication skills | No | No |
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Description:
A position exists, for a Research Assistant/Associate 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 have obtained or be close to obtaining a PhD degree in an area related to Signal Processing or Machine Learning, 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 of working in a team and managing their own workload. Ability to effectively liaise with Dstl and WSRF industrial partners is highly desirable.
Appointment at Research Associate level is dependent on having a PhD (or equivalent experience). Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.
Salary Ranges:
Research Assistant: £31,396 - £33,966
Research Associate: £36,024 - £44,263
Fixed-term: The funds for this post are available until 31 March 2025 in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure that you upload your Curriculum Vitae (CV), a covering letter and list of research publications (if not included in the CV) 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 div-f@eng.cam.ac.uk or +44 (0) 1223 332711.
Please quote reference NM43773 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Pharma / Biotech / Healthcare / Medical / R&D
Software Engineering
Graduate
Proficient
1
Cambridge, United Kingdom