Research Scientist in Multi-target Tracking and Bayesian Intent Prediction

3 weeks ago


Cambridge, Cambridgeshire, United Kingdom University of Cambridge Full time

Job Summary

A research position is available in the Department of Engineering at the University of Cambridge to work on developing novel algorithms for multi-target tracking and intent prediction in complex environments. The successful candidate will be part of a project funded by the Defence Science and Technology Laboratory (Dstl) through the MOD WSRF framework.

Key Responsibilities

  • Develop and evaluate intent and anomaly detection algorithms for threat detection of sUAS using radar data.
  • Analyse large amounts of recorded data and work closely with Aveillant/THALES and Dstl.

Requirements

  • A good first degree in engineering, computer science or a closely related field and a PhD degree in an area related to Signal Processing or Machine Learning.
  • Demonstrable research experience in tracking, intent prediction, Bayesian inference, radar and sensor data fusion.
  • Programming experience in Matlab, Python or C++.

Working Arrangements

The post holder will be located in Central Cambridge, UK. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.



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