PhD research project opportunities at the School of Engineering. PhD opportunities Search for a PhD by title Research Institutes - Any -BioengineeringEnergy SystemsImaging, Data and CommunicationsInfrastructure and EnvironmentIntegrated Micro and Nano SystemsMaterials and ProcessesMultiscale Thermofluids PhD Title Research Institutes Principal Supervisor 3D Target Characterisation with the Physics Informed SAR Machine Learning Imaging, Data and Communications Dr Mehrdad Yaghoobi Adaptive Low-Dimensional Monte Carlo Methods for High-Dimensional Multi-Target Tracking Imaging, Data and Communications Prof Victor Elvira Arregui An integrated decision-making approach to detection and evaluation of nefarious microbial threats Imaging, Data and Communications Dr Amy Wilson Certified Randomised Algorithms for Multi-channel Airborne Radar Imaging, Data and Communications Prof Nick Polydorides Combined Radar Cross-Section (RCS) and Synthetic Aperture Radar (SAR) Machine Learning (ML) Based Classification for Airborne, Terrestrial, and Seaborne Targets Imaging, Data and Communications Dr Symon Podilchak DNA Origami Derived Passive NIR-MWIR Photonics Bioengineering, Imaging, Data and Communications Prof Alistair Elfick Explainable machine learning via physical equations: understanding what your sensor sees. Imaging, Data and Communications Dr Joao Mota Geometry-aware optimisation methods for designing and manufacturing Imaging, Data and Communications Dr Amir Vaxman Have I been seen? Imaging, Data and Communications Dr Elliot Crowley Learning Multimodal Virtual Sensors for Adaptive Robotic Manipulation Imaging, Data and Communications Prof Michael Mistry Memory-Task Alignment in Reservoir Computing Imaging, Data and Communications Dr Eric Hall Neuro-Algebraic Multi-Agent Digital Twin for Safety and Cybersecurity Assurance of 6G Network Subsystems and Elements Imaging, Data and Communications Dr Oleksandr Letychevskyi Physical World Models Imaging, Data and Communications Dr Laura Sevilla Lara Robust Few-Shot Learning for Underwater Acoustic Signal Classification (QinetiQ/IDLA) Imaging, Data and Communications Dr Henry Gouk Robust, multi-mode coherent track-before-detect for radar detection in complex sensing environments Imaging, Data and Communications Dr Murat Uney Statistical learning for uncertainty-aware active sonar methodology Imaging, Data and Communications Dr Torben Sell Stochastic Contact-Implicit Model Predictive Control and Behavioural Cloning for Versatile Surveillance with Legged Robots Imaging, Data and Communications Dr Carlos Mastalli Tomographic Imaging of Dynamic Combustion Plumes Imaging, Data and Communications Professor Nicholas Polydorides Unsupervised Statistical Learning for In-Situ Anomaly Detection in LPBF Imaging, Data and Communications Professor Nicholas Polydorides This article was published on 2024-09-11
