Multiple Object Tracking and Decision Making


   Department of Automatic Control and Systems Engineering

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

This research is aimed at developing scalable Bayesian approaches able to solve complex and high dimensional problems with multiple objects and multi-sensor data. One such problem is tracking multiple objects by modelling the interactions between them in the presence of uncertainties, e.g. for the sensor characteristics and environment. A combination between Bayesian methods and compressed sensing is a potential approach to investigate.

Engineering (12)

Funding Notes

This is a self-funded research project.
We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution.
Prospective candidates for this project should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing, electrical engineering or a related subject.
Full details of how to apply can be found at the following link:
View Website
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: View Website

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