Research Fellow in AI for Electronic systems modelling

The University of Edinburgh; City of Edinburgh; On-site; GBP 50,000 - 62,000; Full time

Job summary

A prominent UK higher education institution in Edinburgh is seeking a candidate to develop AI tools for enhancing electronics design processes. This role requires a PhD in Electronics or AI, project leadership experience, and a strong background in AI tools for electronic systems. The ideal applicant will enjoy working in a collaborative environment and contribute significantly to pioneering research. A competitive salary and benefits are offered, along with a diverse working community.

Benefits

Generous holiday entitlement

Competitive pension schemes

Staff discounts

Family-friendly initiatives

Qualifications

• Proven contact with Electronic systems modelling or equivalent industry experience.
• Track record of research in AI focused on Electronic systems modelling.
• Experience in delivering research project results in an AI context.

Responsibilities

• Lead the development of AI capabilities, tools, and methodologies.
• Engage with experts across AI and electronics.
• Work with the APRIL Hub Director and other researchers.

Skills

Experience in AI tools for Electronic systems modelling automation

Experience with Electronics Testing and instrumentation

Ability to adapt and accept new ideas

Education

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

Job description

Overview

Grade UE08: £50,253.00 to £61,759.00 per annum

CSE / School of Engineering / Integrated Micro and Nano Systems

Full-time: 35 hours per week

Fixed term: 36 months

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 building “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. automatically deciphering underlying physical mechanism is emerging beyond-CMOS devices.

The post-holder will have the ability to engage 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 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 on-going 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 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 to view a copy of the full job description

Application documents

• CV
• Cover letter

As a valued member of our team you can expect

• A competitive salary.
• 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, competitive pension schemes, staff discounts, and family-friendly initiatives. 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 5th November 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.