28 power-systems-engineering "https:" "https:" "https:" "https:" "https:" "https:" Fellowship research jobs at Queen's University Belfast
Sort by
Refine Your Search
-
become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS), contributing to word
-
Edge Intelligence Job description About the job: You will be a highly productive, ambitious and collaborative member of National Edge AI Hub (https://edgeaihub.co.uk/) research project/team assisting in
-
description The post holder will join an Invest NI funded program working towards control and optimisation of ion beams driven by high-power lasers and their potential applications. The experimental work
-
criteria: Have or be about to obtain a PhD in control theory or control engineering, applied mathematics, electrical engineering, computer science, cyber-physical systems or a closely related
-
systems. To assist in the planning and delivery of this research activity so that the overall research objectives of the project are met. About the preson: The successful candidate must have, and your
-
your application should clearly demonstrate that you meet the following essential criteria: 1. Hold a 2:1 Honours degree in Electrical and Electronic Engineering, Computer Science, Mathematics or other
-
Engineer with strong experimental engineering expertise to lead the development of professional-grade demonstrator units suitable for deployment to external partners. We are looking for a hands-on
-
processing, analysis, and sharing. The successful candidate will have a strong foundation in software engineering, data engineering, and cloud computing, with a proactive attitude and eagerness to
-
infrastructure, such as gas, water, and electrical grids. This specifically concerns Cyber-Physical Systems and the complex integration of IT-OT environments, supporting CyberUnite’s mission to develop resilient
-
project manager and other professional services (e.g., in the Centre for Intelligent Sustainable Computing and the School of Electronics, Electrical Engineering and Computer Science) and with the