FILLED: Postdoctoral Research Fellow In Accessible Explainable AI

The Trustworthy AI Lab in the Faculty of Business and IT at Ontario Tech University, in collaboration with the Canadian National Institute for the Blind (CNIB), has an opening for a Postdoctoral Fellow (PDF) in the area of accessible explainable artificial intelligence.

The position will be supervised by Dr Peter Lewis, Canada Research Chair in Trustworthy AI at Ontario Tech and Dr Mahadeo Sukhai, VP Research and International Affairs & Chief Accessibility Officer at CNIB. The position is initially offered for one year and may be extended subject to funding and performance. The base salary for the Fellowship is $60,000, and there may also be the opportunity to teach for additional compensation (currently $7,717 per course).

We are looking for a collaborative researcher with an interdisciplinary mindset and a deep understanding and commitment to accessibility and equity. The successful candidate will take a leading role in and make substantial contributions to the Accessible Explainable Artificial Intelligence in Decision Making project, which is funded by Accessibility Standards Canada’s Advancing Accessibility Standards Research Program.

Candidates should have a background in computer science, artificial intelligence, cognitive science, human-computer interaction, or a related field, and be interested in the accessibility of AI technology and its implications for the sight loss community.

Working as part of the project team, the successful candidate will conduct research on explainable AI techniques that are accessible to persons with sight loss and other sensory disabilities, to inform future standards for explainable AI. Engaging both the disability and technical communities in joint co-design sessions, the successful candidate will propose, prototype, and promote new best practice concerning how to explain the behaviour of AI systems in accessible ways. They will provide options and recommendations for accessible explainability technologies/techniques aimed at technical developers, business leaders, and policymakers.

To apply, please click here.