10441 - Research Fellow in AI for Electronic systems modelling
| Dyddiad hysbysebu: | 14 May 2024 |
|---|---|
| Cyflog: | £48,350 to £59,421 per year |
| Oriau: | Full time |
| Dyddiad cau: | 13 June 2024 |
| Lleoliad: | Edinburgh, Scotland |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 4 ddiwrnod yr wythnos |
| Cwmni: | University of Edinburgh |
| Math o swydd: | Temporary |
| Cyfeirnod swydd: | 10441 |
Crynodeb
Grade UE08: £48,350 - £59,421
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 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 building “digital twins” for modelling device/systems performance, with input from automated testing routines. The research spans from automated process for new and emerging semiconductor devices to efficient modelling of complex electronic circuits and architectures. 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 experience 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 Electronic systems modelling, or a closely related area or equivalent industry experience.
Experience in AI tools for Electronic systems modelling automation and experience with Electronics Testing and instrumentation.
A track record of research in AI, with a specific focus on Electronic systems modelling or a closely related area.
Experience in delivering research project results in an Electronic systems modelling 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.
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 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 building “digital twins” for modelling device/systems performance, with input from automated testing routines. The research spans from automated process for new and emerging semiconductor devices to efficient modelling of complex electronic circuits and architectures. 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 experience 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 Electronic systems modelling, or a closely related area or equivalent industry experience.
Experience in AI tools for Electronic systems modelling automation and experience with Electronics Testing and instrumentation.
A track record of research in AI, with a specific focus on Electronic systems modelling or a closely related area.
Experience in delivering research project results in an Electronic systems modelling 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.