10297- Research Associate in AI for Electronics Testing & Verification automation
| Posting date: | 18 April 2024 |
|---|---|
| Salary: | £39,347 to £46,974 per year |
| Hours: | Full time |
| Closing date: | 18 May 2024 |
| Location: | Edinburgh, Scotland |
| Remote working: | Hybrid - work remotely up to 4 days per week |
| Company: | University of Edinburgh |
| Job type: | Temporary |
| Job reference: | 10297 |
Summary
Grade, Salary Range: UE07, £39,347.00 - £46,974.00
School of Engineering, College of Science & Engineering
Institute/Discipline: Integrated Micro and Nano Systems
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 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 and introduce 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 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 60 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 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.
School of Engineering, College of Science & Engineering
Institute/Discipline: Integrated Micro and Nano Systems
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 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 and introduce 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 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 60 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 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.