Sort by
Refine Your Search
-
into the co-design of ultra-low-power AI hardware architectures tailored for edge computing applications. The research aims to develop neuromorphic processors, FPGA/ASIC-based AI accelerators, and intelligent
-
innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered
-
software. The TELOS collaboration, co-led by researchers at Swansea University and The University of Edinburgh, and with links in other Institutions in the United Kingdom, Taiwan, Korea, Austria and Japan
-
indicative of plant health and stress. Through this project, the student will gain practical experience in utilizing specialized technical software and methodologies to investigate root architecture. They will
-
candidate will explore programmable, AI-enhanced networking frameworks designed to meet the evolving demands of Industry 5.0. This includes developing novel architectures that combine Software-Defined
-
. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
-
One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
-
students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics. Over the past decade we have developed efficient open-source software that enables