12698 - Research Associate in AI for Electron Device Design

University of Edinburgh; City of Edinburgh; On-site; GBP 40,000 - 49,000; Full time

Job summary

A leading UK university is seeking a Research Associate in AI for Electron Device Design. The role involves developing AI tools to enhance engineer productivity in designing advanced electronic devices. Candidates should have a PhD in Electronics or AI and a track record in related research. This full-time position is fixed-term for up to 24 months, based in Edinburgh.

Qualifications

• Proven contact with Electron Devices or equivalent industry experience.
• Track record of peer-reviewed journal and conference papers.
• Experience delivering research project results.

Responsibilities

• Develop AI tools for designing and executing experiments.
• Work with researchers and industrial partners on electronics challenges.
• Support the development of methodologies enhancing engineering productivity.

Skills

1st class undergraduate degree

PhD in Electronics or AI

Research in AI focused on Electron Device Design

Experience with AI tools for Electron Device Design

Ability to adapt and accept new ideas

Education

PhD in Electronics or AI

Job description

Grade UE07: £40,497 to £48,149 per annum, pro‑ra‑ta if part time

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

Full‑time: 35 hours per week

Fixed term: up to 24 months

Opportunity

The Centre for Electronic Frontiers (CEF) within the School of Engineering at the University of Edinburgh is accepting applications for an experienced Research Associate in AI for Electron Device Design. The position will be based at the King’s Buildings Campus.

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 develop AI tools that can design and execute experiments in search of the best manufacturing parameter settings to create electron devices with optimum performance and yield; spanning from optimal "device recipe" prediction to automated testing and yield assessment.

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‑the‑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 for up to 24 months.

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 Electron Devices, or a closely related area or equivalent industry experience.
• A track record of research in AI, with a specific focus on Electron Device Design or a closely related area.
• Experience in delivering research project results in an Electron Devices Design and/or AI context; i.e. a record of peer‑reviewed journal and conference papers in a relevant area.
• Experience in AI tools for Electron Device Design.
• Ability to be adaptive and accepting of new ideas and a willingness to approach new challenges and adjusts plans to meet new priorities.