Research Fellow in AI for Electronics Testing & Verification automation

The University of Edinburgh; Scotland; On-site; GBP 35,000 - 50,000; Full time

Job summary

A leading university is seeking a Research Fellow in AI for Electronics Testing & Verification. This full-time role involves developing innovative AI tools to enhance electronics testing processes and collaborating with top experts in the field. Candidates should possess a PhD and demonstrate relevant experience in both AI and electronics.

Qualifications

• A PhD in Electronics or AI, or equivalent industry experience.
• Experience with AI tools for Electronics Testing & Verification.
• Proven track record in AI research and project leadership.

Responsibilities

• Lead the development of AI capabilities and methodologies.
• Engage with experts in AI and electronics to address challenges.
• Deliver research project results in AI and electronics domains.

Skills

AI tools for Electronics Testing

Electronics Testing

Project Development

Research Leadership

Communication Skills

Organisational Skills

Education

PhD in Electronics or AI

1st class undergraduate degree

Job description

Research Fellow in AI for Electronics Testing & Verification automation, Midlothian

Client:

The University of Edinburgh

Location:

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

022e0909861f

Job Views:

5

Posted:

29.06.2025

Expiry Date:

13.08.2025

Job Description:

College of Science & Engineering / School of Engineering / Integrated Micro and Nano Systems

Full-time: 35 hours per week

Fixed-term: for up to 5 years

The Centre for Electronic Frontiers (CEF) at the University of Edinburgh is accepting applications for an experienced Research Fellow in AI for Electronics Testing & Verification automation. 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 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 developing and introducing AI tools in electronics testing and verification for predicting what to test and when. The research spans from improving scenario coverage in certification tests across devices/systems to automatically deciphering underlying physical mechanism is emerging beyond-CMOS devices.

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 haveexperience 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 Electronics Testing and Verification, or a closely related area or equivalent industry experience.
• Experience in AI tools for Electronics Testing & Verification automation and with with Electronics Testing and instrumentation.
• A track record of research in AI, with a specific focus on Electronics Testing and Verification or a closely related area.
• Experience in delivering research project results in an Electronics Testing and Verification 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.

Please apply including a cover letter and CV.

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Created on 29/06/2025 by TN United Kingdom