13396 - Research Associate in AI for Electronic Systems Modelling

University of Edinburgh; City of Edinburgh; On-site; GBP 41,000 - 49,000; Full time

Job summary

A leading UK higher education institution is hiring a Research Associate in AI for electronic systems modelling. The successful candidate will collaborate with top researchers, develop AI tools, and build digital twins to enhance electronic designs. Ideal applicants will hold a PhD in Electronics or AI and have a strong background in research. This full-time role offers competitive remuneration and is fixed term until 05/01/2028.

Qualifications

• 1st class undergraduate degree and a PhD in Electronics or AI, or a clearly related area.
• Experience in AI tools for electronic systems modelling automation.
• Track record of research in AI, focusing on electronic systems modelling.

Responsibilities

• Develop AI tools, capabilities, and methodologies for electronic systems modelling.
• Build digital twins for modelling device and system performance.
• Collaborate with experts at Edinburgh and UK HE institutions.

Skills

Communication skills

Organizational skills

Technical skills

Adaptability

Education

1st class undergraduate degree

PhD in Electronics or AI

Tools

AI tools

Electronics testing and instrumentation

Job description

Grade UE07: £41,064.00 to £48,822.00 per annum

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term until 05/01/2028

The Opportunity

The Centre for Electronic Frontiers (CEF) at the University of Edinburgh is accepting applications for an experienced Research Associate in AI for Electronic systems modelling. The position will be based at the King’s Buildings Campus.

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 build “digital twins” for modelling device/systems performance, with input from automated testing routines. The research spans from an automated process for new and emerging semiconductor devices to efficient modelling of complex electronic circuits and architectures.

The post‑holder will engage with world‑leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions, as well as industrial partners, to ensure relevance of their research in addressing state‑of‑the‑art challenges in electronics.

Successful candidates will have excellent communication, organisation and technical skills, 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 on‑going engagement with other researchers in the Hub as well as academic leads.

Responsibilities

• Work closely with researchers and the APRIL operations team to develop AI tools, capabilities and methodologies for electronic systems modelling.
• Build digital twins for modelling device and system performance, integrating automated testing routines.
• Conduct research spanning automated processes for new semiconductor devices to efficient modelling of complex electronic circuits and architectures.
• Collaborate with AI and electronics experts at Edinburgh, other UK HE institutions and industrial partners to align research with industry needs.

Your Skills and Attributes for Success

• 1st class undergraduate degree and a PhD in Electronics or AI, or a clearly related area, with a proven track record in electronic systems modelling or a closely related area (or equivalent industry experience).
• Experience in AI tools for electronic systems modelling automation and experience with electronics testing and instrumentation.
• Track record of research in AI, with a specific focus on electronic systems modelling or a closely related area.
• Experience delivering research project results in an electronic systems modelling and/or AI context (record of peer‑reviewed journal and conference papers in a relevant area).
• Ability to be adaptive and accepting of new ideas, a willingness to approach new challenges, and adjust plans to meet changing priorities.