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Research Fellow in AI for Electronics Testing & Verification automation

The University of Edinburgh

City of Edinburgh

On-site

GBP 50,000 - 62,000

Full time

Yesterday
Be an early applicant

Job summary

A prestigious university in Scotland is seeking an experienced Research Fellow in AI for Electronics Testing & Verification automation. This role involves developing AI tools to enhance electronics productivity, engaging with researchers and industry experts, and leading innovative project developments. Candidates should have a strong research background and relevant academic qualifications.

Qualifications

  • A proven track record of research in AI focused on Electronics Testing and Verification.
  • Experience in delivering research project results.
  • Adaptive to new ideas and willing to approach new challenges.

Responsibilities

  • Lead the development of novel AI capabilities in electronics.
  • Work closely with a team of researchers and industrial partners.
  • Engage with experts in AI and electronics.

Skills

Experience in AI tools for Electronics Testing & Verification automation
Excellent communication and presentation skills
Organizational skills
Ability to work independently
Team collaboration

Education

1st class undergraduate degree
PhD in Electronics or AI
Job description
Overview

The Centre for Electronic Frontiers (CEF) at the University of Edinburgh is accepting applications for an experienced Research Fellow in AI for Electronics Testing & Verification automation. The position will be based at the King’s Buildings Campus.

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 lead 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 should have experience in developing and introducing 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 ability 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 addressing state-of-art challenges in electronics.

Your responsibilities and expectations

The successful candidate will have experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills. 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 role will report to the APRIL Hub Director (Principal Investigator), with ongoing engagement with other researchers in the Hub as well as academic leads.

Your skills and attributes for success
  • A 1st class 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 experience.
  • Experience 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.
  • Experience 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 relevant area.
  • Ability to be adaptive and accepting of new ideas and a willingness to approach new challenges and adjusts plans to meet new priorities.

£50,253 to £61,759 per annum Grade UE08

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