We are looking for an experienced researcher to contribute to our project that seeks to develop magnetic traction technologies to assist and accelerate the process of neuronal regeneration after injury, or disease.
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.
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.
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.
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.
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.
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.
This Research Associate position will contribute to the SPEXS project within the Institute for Micro and Nano Systems at the University of Edinburgh, which is funded by Engineering and Physical Sciences Research Council and in collaboration with colleagues at Universities of Glasgow, Heriot-Watt and Sheffield.
