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 educational institution in Scotland is seeking an experienced Research Associate in AI for Electron Device Design. The role involves developing innovative AI tools to enhance the design and testing of advanced electronic devices. Candidates must have a strong background in Electronics or AI, including a PhD, and experience in research projects. The position offers a dynamic environment with collaboration opportunities across disciplines.

Qualifications

• Proven experience with Electron Devices or related industry experience.
• Track record of research in AI focused on Electron Device Design.
• Experience in delivering results in research projects.

Responsibilities

• Develop AI tools to design and execute experiments for electron devices.
• Work with a team to enhance productivity in designing advanced devices.
• Engage with experts in AI and electronics for relevant research.

Skills

Excellent communication skills

Strong organisational skills

Technical skills in AI and Electronics

Ability to work independently and in a team

Adaptive to new ideas and challenges

Education

1st class undergraduate degree in Electronics or AI

PhD in Electronics or AI

Tools

AI tools for Electron Device Design

Job description

Grade UE07: £40,497 to £48,149 per annum, pro-rata 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

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.

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 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-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.

A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description below.

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 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.