Research Associate in AI for Electronic systems modelling

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Research Associate in AI for Electronic Systems Modelling, Midlothian

**Client:** The University of Edinburgh

**Location:** Midlothian, UK

**Job Category:** Other

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**EU work permit required:** Yes

Job Reference:

ce839b3ea9e7

Job Views:

8

Posted:

26.04.2025

Expiry Date:

10.06.2025

Job Description:

Grade UE07: £40,247.00 to £47,874.00 per annum

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term for up to 5 years

The Opportunity:

This position is affiliated with the UKRI APRIL AI Hub that aims to develop AI tools to accelerate innovation in semiconductor technologies, microchip designs, and system architectures—leading to faster, cheaper, greener, and more power-efficient electronics. As one of nine UKRI-funded AI Hubs, this program has high visibility both nationally and internationally.

The post-holder will collaborate with researchers and the APRIL operations team to develop AI capabilities, tools, and methodologies to enhance engineers' productivity in designing, developing, and testing advanced electronic devices and systems. Specifically, they will build "digital twins" for modeling device/system performance, incorporating input from automated testing routines. The research will cover automated processes for emerging semiconductor devices and efficient modeling of complex electronic circuits and architectures.

The candidate will engage with experts across AI and electronics at Edinburgh and other UK HE institutions, as well as industrial partners, to ensure research relevance and address cutting-edge challenges in electronics.

The ideal candidate will possess excellent communication, organizational, and technical skills, enjoy working in dynamic environments, and be capable of working independently and as part of a team. The role reports to the APRIL Hub Director and involves ongoing engagement with other researchers and academic leads.

This role is classified as UE07 and is available on a fixed-term basis for up to 60 months.

A detailed list of responsibilities and required skills can be found in the full job description below.

Your skills and attributes for success:

• A first-class undergraduate degree and a PhD in Electronics, AI, or a related field, with proven experience in electronic systems modeling or equivalent industry experience.
• Experience with AI tools for electronic systems modeling automation and electronics testing and instrumentation.
• A research track record in AI, focusing on electronic systems modeling or related areas.
• Experience in delivering research results in electronic systems modeling or AI contexts, including peer-reviewed publications.
• Adaptability, openness to new ideas, and willingness to tackle new challenges and adjust plans accordingly.

Please apply including a cover letter and CV.