Two/three-dimensional flow-field parameters, such as species concentration, temperature and velocity are key to understand the physical and chemical behaviors of flows.
Gaseous parameters, including species concentration, temperature and velocity are key indicators of the flow-field state and hence play a crucial role in characterizing the thermochemical performan
This Research Associate position will contribute to the Centre for Electronic Frontiers (CEF) within the Institute for Integrated Micro and Nano Systems at the University of Edinburgh, which is funded by EPSRC and in collaboration with colleagues at Imperial College London and University of Manchester.
This is an exciting opportunity for a Research Associate who wishes to work on developing an “intelligent memory accelerator” for large-scale artificial intelligence systems and bring it to the market. It is a post mixing academic innovation with the aim to launch a start-up, taking an idea from the lab to the world.
This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally.
The Centre for Electronic Frontiers (CEF) at the University of Edinburgh is accepting applications for an experienced Research Fellow in AI for Electron Device Materials Discovery. The position will be based at the King’s Buildings Campus.
