Research Associate or Senior Research Associate on Integrating Learning, Optimisation and Reasoning for Trustworthy AI

Updated: about 2 months ago
Location: Bristol, ENGLAND
Job Type: FullTime
Deadline: 16 Sep 2021

The role

An exciting opportunity has arisen to join the Intelligent Systems Laboratory in Bristol to further research on Trustworthy AI as part of the TAILOR network ( ). TAILOR builds capacity and provides scientific foundations for Trustworthy AI in Europe by developing a network of research excellence centres leveraging and combining machine learning, computational optimisation and automated reasoning. The University of Bristol is one of the core partners in the network, coordinating a work package on Network Collaboration, and contributing fundamental research on Explainable AI, and Integrating AI Paradigms and Representations.

What will you be doing?

This position is of particular interest for people with postdoctoral experience who are looking to diversify their skill set in preparation for an academic position. Working closely with Prof Peter Flach, the successful candidate will have a unique opportunity to participate in cutting-edge AI research, collaborate with leading European AI labs, and help develop AI-powered collaboration tools and training platforms.

You should apply if

You have a recent relevant PhD and research track record in machine learning, AI, or a related area; excellent and broad conceptual knowledge of the state of the art in ML/AI; excellent programming and software development skills; and experience with collaborative projects. Experience with trustworthy AI, knowledge-driven AI, and performance evaluation in AI would be a bonus.
Applications must include a cover letter describing how you match the person specification, and how the position fits in with your career ambitions. Also provide a link to your curated Google Scholar page and select one paper that you would like the appointment panel to read.

Additional information

For informal queries, please contact: Peter Flach ( ).

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.

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