Research Associate in AI for Electronic Systems Modelling

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

Job summary

A prestigious university in Scotland is seeking a Research Associate in AI for Electronic systems modelling at its King's Buildings Campus. The role involves developing AI tools for semiconductor technologies and engaging with a dynamic team. Candidates should ideally have a PhD in Electronics or AI and experience with AI tools and Electronics Testing. The position is full-time and fixed term until January 2028, offering a competitive salary and various staff benefits.

Benefits

Generous holiday entitlement

Defined benefits pension scheme

Staff discounts

Flexible work options

Qualifications

• A proven contact with Electronic systems modelling.
• A track record of research in AI focused on Electronic systems modelling.
• Experience with Electronics Testing and instrumentation.

Responsibilities

• Work on digital twins for modelling device/system performance.
• Enhance productivity in designing, developing and testing advanced electronic devices.
• Engage with experts across AI and electronics.

Skills

Excellent communication

Organisation skills

Technical skills

Experience in AI tools for automation

Adaptability

Education

1st class undergraduate degree and a PhD in Electronics or AI

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 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.

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

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.

The successful candidate will have excellent communication, organisation, and technical 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 on‑going engagement with other researchers in the Hub as well as academic leads.

This role is UE07 and is available on a fixed term basis until 05/01/2028.

A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description below.

Your skills 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 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.
• A track record of research in AI, with a specific focus on Electronic systems modelling or a closely related area.
• Experience in delivering research project results in an Electronic systems modelling 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.

Click here for a copy of the full job description

Please apply including a cover letter and CV

As a valued member of our team you can expect:

• A competitive salary of UE07: £41,064.00 to £48,822.00 per annum.
• An exciting, positive, creative, challenging and rewarding place to work.
• To be part of a diverse and vibrant international community
• Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family‑friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the total value of your pay and benefits

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages.

The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.

Key dates to note

The closing date for applications is 19 December 2025.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.