-
/interest in space systems would be a distinct advantage, as would familiarity with space telecommunication, AI and Machine Learning methods, and systems evaluation concerning cybersecurity. Experience in
-
This is a funded PhD studentship open to all applicants with a fixed fee-stipend cap. The PhD studentship is a full-time 3-year position to support the strategic EPSRC grant – trustworthy autonomous
-
this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
-
diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial problems
-
, satellite platforms and other on-site data sources. 4. Develop edge-based machine-learning techniques to provide near-instantaneous emission estimates. 5. Determine the suitability of the technology to
-
to establish seamless bidirectional communications with operators and engineers considering the Human-Machine Interface, to achieve ‘human-in-the-loop’ and ‘human-on-the-loop’ actions. Cranfield is a unique