Research Scientist in AI for Electronic Systems

4 weeks ago

Midlothian, United Kingdom The University of Edinburgh Full time
Job Opportunity

We are seeking a highly skilled Research Associate to join our team at the University of Edinburgh, working on a prestigious project affiliated with the UKRI APRIL AI Hub.

The successful candidate will work closely with a team of researchers and the APRIL operations team to develop novel AI capabilities, tools, and methodologies that enhance the productivity of engineers in designing, developing, and testing advanced electronic devices and systems.

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 institutions, as well as industrial partners, to ensure the relevance of their research in addressing state-of-the-art challenges in electronics.

Key Responsibilities
  • Develop and implement AI tools for electronic systems modelling automation
  • Collaborate with researchers and the APRIL operations team to support the development of novel AI capabilities and methodologies
  • Engage with experts across AI and electronics to ensure the relevance of research
  • Contribute to the development of digital twins for modelling device/systems performance
Requirements
  • 1st class undergraduate degree and a PhD in Electronics or AI, or a clearly related area, with a proven contact with electronic systems modelling
  • Experience in AI tools for electronic systems modelling automation and experience with electronics testing and instrumentation
  • Track record of research in AI, with a specific focus on electronic systems modelling or a closely related area
  • Ability to be adaptive and accepting of new ideas and a willingness to approach new challenges and adjust plans to meet new priorities
What We Offer

The University of Edinburgh offers a dynamic and supportive environment, with opportunities for professional development and collaboration with world-leading experts.

The successful candidate will have the opportunity to work on a highly visible project, with the potential for significant impact in the field of AI and electronic systems modelling.

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