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Offer: Research Associate in AI for Electronics Testing & Verification Automation:Job description:Job location: Edinburgh Fixed term for up to 5 years The Opportunity: 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 post-holder will work closely with a team of talented researchers and the APRIL operations team to support the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder will be able to develop and introduce AI tools in electronics testing and verification for predicting what to test and when. The research spans from improving scenario coverage in certification tests across devices/systems to automatically deciphering underlying physical mechanism is emerging beyond-CMOS devices. The post-holder will have the capability toengage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in covering state-of-art challenges in electronics. The prosperous candidate will have excellent communication, organisation, and technical expertise. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The function will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads. this function is UE07 and is available on a fixed term basis for up to 60 months. A full list of main responsibilities and the expertise, expertise and practice required for the function can be found in the full job description below. Your expertise and attributes for success: » A 1stclass undergraduate degree and a PhD in Electronics or AI, or a clearly related area, with a proven contact with Electronics Testing and Verification, or a closely related area or equivalent industry practice. » practice in AI tools for Electronics Testing & Verification automation and with with Electronics Testing and instrumentation. » A track record of research in AI, with a specific focus on Electronics Testing and Verification or a closely related area. » practice in delivering research project results in an Electronics Testing and Verification and/or AI context; i.e. a record of peer-reviewed journal and conference papers in a significant area. » capability to be adaptive and accepting of new ideas and a availability to approach new challenges and adjusts plans to meet new priorities. Skills:
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