PhD Studentship – Machine Learning in Dynamical Systems for Sensor Signal Processing
The University of Edinburgh
Edinburgh, United Kingdom
General Description – including all available relevant information of this position
The University of Edinburgh’s School of Engineering invites applications for a PhD studentship focused on advancing foundational research at the nexus of machine learning, dynamical systems and sensor signal processing. This project explores how learning-based approaches can enhance classical dynamical system models used in control, inference and multi-sensor fusion, tackling challenges in noisy, high-dimensional environments. Research themes include developing hierarchical, time-varying state-space models, handling calibration errors, and improving detection and tracking capabilities in complex backgrounds — from radar contexts to semi-supervised learning of sensor data classifiers. Students will have the opportunity to shape the project direction, work with renowned academics, and potentially align their research with the Sensing, Processing and AI for Defence and Security Centre for Doctoral Training (SPADS CDT) for enhanced support. This fully funded opportunity supports both UK/EU and international applicants, offering an immersive research environment at one of the UK’s leading engineering schools.
Eligibility Criteria
Applicants should have, or expect to obtain, at least a 2:1 Master’s degree in engineering, computer science, statistics, physics or a closely related discipline. A strong academic record and motivation for doctoral research in machine learning and dynamical systems are essential. Meeting the University’s English language requirements is necessary for non-native English speakers.
Require expertise, skills
Successful candidates will bring solid foundations in machine learning, signal processing and dynamical systems, complemented by programming experience and analytical abilities. Research interests in probabilistic modelling, Bayesian computation, and real-world sensor data applications will be well aligned with the project’s aims. Enthusiasm for interdisciplinary research and collaboration with academic leaders in the field is expected.
Salary details –
The studentship includes an annual stipend of £21,935 (2024–25 rate, subject to revision) and research expense support of £5,000 over the course of the study.
Application Deadline –
Applications are due by 15 March 2026.