Uol Redeployees Only post-doctoral Research

2 weeks ago


Liverpool, United Kingdom University of Liverpool Full time

The approach adopted will use advanced particle filtering techniques with radar signal models to address computational issues in coherent radar detection with long time integration. The research will therefore involve Bayesian filtering algorithms (e.g., Sequential Monte Carlo (SMC) methods), sampling algorithms (e.g., No-U-Turn Samplers (NUTS), Hamiltonian Monte Carlo (HMC)), and radar signal models and detection techniques (e.g., constant false alarm rate (CFAR) detection).- This post will improve upon some recently developed models and computational techniques; implement them for HPC, including Graphical Processing Units (GPUs), using probabilistic programming languages such as Stan (which implements Markov Chain Monte Carlo (MCMC)) and its in-house developed sequential version, Streaming Stan (which implements a Fixed-Lag SMC sampler).-
- This post is open to British and foreign nationals who can obtain HMG Baseline Personnel Security Standard (BPSS).- You will be supervised by Dr Murat Uney, and the post is part of the Signal Processing research group led by Professor Simon Maskell. The group is part of UoL¿s Department of Electrical Engineering and Electronics (EEE).- The post is available on a fixed term basis, until 28 February 2024.



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