Research Fellow in AI for Electronic systems modelling

TN United Kingdom; Scotland; On-site; GBP 40,000 - 70,000; Full time

Job summary

An innovative opportunity awaits with a prestigious institution in Scotland, where you will contribute to cutting-edge research in AI for Electronic systems modeling. This role involves collaborating with a dynamic team to develop AI tools aimed at revolutionizing semiconductor technologies and enhancing engineering productivity. As part of a prominent UKRI-funded AI Hub, you will engage with leading experts and tackle state-of-the-art challenges in electronics. If you have a strong academic background and a passion for research, this is your chance to make a significant impact in a rapidly evolving field.

Qualifications

• Proven experience in Electronic systems modeling or equivalent industry experience.
• Research track record in AI focusing on Electronic systems modeling.

Responsibilities

• Develop novel AI capabilities to enhance productivity in electronic device design.
• Engage with experts across AI and electronics for relevant research.

Skills

Electronic systems modeling

AI tools for Electronic systems

Project development

Communication skills

Organizational skills

Education

1st class undergraduate degree

PhD in Electronics or AI

Tools

AI tools for automation

Testing and instrumentation tools

Job description

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Research Fellow in AI for Electronic Systems Modelling, Midlothian

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Client:

The University of Edinburgh

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

c05b7bf33bb4

Job Views:

3

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

College of Science & Engineering / School of Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Contract type: 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 across 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 is a highly visible program both nationally and internationally.

The post-holder will work closely with a team of researchers and the APRIL operations team to develop novel AI capabilities, tools, and methodologies to enhance the productivity of engineers designing, developing, and testing advanced electronic devices and systems. The candidate should have experience in building “digital twins” for modeling device/system performance, incorporating automated testing routines. The research spans automated processes for new semiconductor devices to efficient modeling of complex circuits and architectures, including beyond-CMOS devices.

The role requires engagement with experts across AI and electronics at Edinburgh, other UK higher education institutions, and industrial partners to ensure research relevance in addressing state-of-the-art challenges.

The successful candidate will have experience in project development and leadership within research, along with excellent communication, presentation, and organizational skills. They should enjoy working in a dynamic environment, be proactive, and collaborate effectively. The role reports to the APRIL Hub Director and involves ongoing engagement with other researchers and academic leads.

Your skills and attributes for success:

• A 1st class undergraduate degree and a PhD in Electronics, AI, or a related area, 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 delivering research results in Electronic systems modeling and/or AI, with peer-reviewed publications.
• Adaptability, openness to new ideas, and willingness to tackle new challenges, adjusting plans to meet priorities.

Please apply including a cover letter and CV