Senior AI Research Engineer / AI Research Engineer

Are you interested in conducting leading AI / machine learning research across discipline boundaries AND building standardised open-source software to disseminate such research to the broadest possible userbase for the greatest possible impact?

We are creating a new AI Research Engineering team by recruiting Senior AI Research Engineers and AI Research Engineers, each having a specific focus while working jointly towards maximising the benefits of AI to promising and impactful areas of research across the whole of the University of Sheffield. This team is part of the University’s multi-million-pound investment to establish the new Centre for Machine Intelligence.

These FIVE positions are ideal for those with a passion for AI/machine learning research AND software development.

As a (Senior) AI research engineer, you will work with the team to: assess and select AI/machine learning projects across the University; perform deep analysis on the requirements, feasibility, and impact; conduct AI/machine learning research to address gaps and challenges; design and build standardised software libraries following the FAIR (findability, accessibility, interoperability, and reusability) principles; deploy and maintain such software libraries, and disseminate research outcomes via top research papers, tutorials, and hackathons.

You will work collaboratively with the Sheffield AI community members including academic/research staff and research software engineers. Through your work as an AI research engineer, you will have the opportunity to explore research and academic career pathways and there is the potential to jointly build AI-powered spinout companies from high-impact projects. For AI Research Engineers, you may register for a part-time PhD (with fee waiver) if interested.

You will be expected to have keen interests in interdisciplinary AI/machine learning research, excellent research record or potential in AI/machine learning or related areas, high-quality software development experience or potential, solid mathematical background and programming skills, and ability of effective team working, collaboration, and time management.

In your application, please provide 1) your CV; 2) one representative piece of your writing (e.g., paper, dissertation, technical report); 3) code samples via an attachment or providing your GitHub page link; and 4) a description of a collaboration experience in your Application Statement.

We will hold one hybrid information session from 13:30 to 14:30 on 31st March 2023 (Friday) to introduce how this team will work together to accelerate AI research at Sheffield and answer any questions that you may have well before the application deadline. You may attend in person or online. Please register via https://forms.gle/MocZaFiyvay4gnLB6 in advance by Thursday 30th March 2023.

We are a member of the Russell group and in the top-100 worldwide according to the 2023 QS rankings. The Department of Computer Science is a leading research body, with 99% of its research being rated in the highest two categories (4*-world-leading and 3*-internationally excellent) in Research Excellence Framework (REF 2021).

To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.

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