About the Project
This PhD project will investigate new algorithms for state estimation from noisy/uncertain measurements when the underlying computing platforms can track value uncertainty in hardware. The outcomes of the project will include new fundamental insights into how novel computer architectures that perform arithmetic on probability distributions can influence the design and implementation of state estimation algorithms. The project will result in the formulation, implementation, and evaluation of new state estimation methods for these future processor architectures.
Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in Computer Engineering, Electrical Engineering, Computer Science, or a related subject. Applications should be submitted via the University of Cambridge Applicant Portal www.graduate.study.cam.ac.uk/courses/directory/egegpdpeg, with Phillip Stanley-Marbell identified as the potential supervisor and quote the position reference NM24591.
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