Lecturer in Artificial Intelligence

The Role

We are excited to launch this opportunity, which is part of a substantial and strategic investment from Newcastle University and the SAgE Faculty into Data Science, Artificial Intelligence and Digital Skills. This builds on our successes hosting the National Innovation Centre for Data and engaging with the Alan Turing Institute, and on our investment in purpose-built facilities for Computing and Data Science in Newcastle Helix. You will have the opportunity to shape this continued investment effort in future years by collaborating with multi-disciplinary Faculty teams across research and education.

Artificial Intelligence (AI) is expected to be the most transformative and disruptive technology of the 21st century. It has the potential to dramatically accelerate scientific and technological breakthroughs in engineering, from machine vision, robotics, automation, process engineering, augmented/virtual reality, transport and electrification, to the design of advanced materials for carbon capture, structural health monitoring of infrastructure projects and digital twins.

We are looking for an innovative, ambitious and visionary early career academic who is able to develop, lead and sustain research of national and emerging international standard at the intersection between artificial intelligence and engineering, working collaboratively on a variety of shared problems that can benefit from the application of AI in engineering applications. 

Our primary criteria are excellence in research and teaching and commitment to our ethos of creativity and collegiality. You will be affiliated to a relevant Research Group in the School and will benefit from access to excellent research facilities across multiple groups.

The School of Engineering strives to provide an outstanding educational experience, rooted in strong engineering disciplines, this position provides a significant opportunity for interdisciplinary collaboration, within a successful and supportive environment.

The University has developed an Academic Job Summary Guidance document which summarises the range of activities that academic colleagues may be expected to perform.

For more information about the School of Engineering, and our research, please click here.

We are committed to building and maintaining a fair and inclusive working environment and we would be happy to discuss arrangements for flexible and/or blended working.

The appointment is offered on a full-time basis and is open-ended, with an estimated start date of 1st June 2023.

Presentations will be held on, Tuesday 2nd May 2023 with interviews to follow on Wednesday 24th May 2023.’

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