Research Assistant Oxford, England
University of Oxford
Full Time
Oxford, England
40745 GBP ANNUAL Today
Job description
The Oxford Internet Institute is a leading centre for research into the governance of emerging technologies.
Applications are invited from highly-qualified individuals for the position of Research Assistant to collaborate with Professor Brent Mittelstadt (Associate Professor), Professor Sandra Wachter (Professor of Technology and Regulation), and Dr Chris Russell (external collaborator) on the interpretability, transparency, and fairness in machine learning and AI.
This is a full-time position, available immediately for a fixed-term duration until 31 December 2024, subject to funding availability. This position is based in the UK and offers the opportunity for hybrid working, and the team are open to discussing a working pattern that works for the successful candidate.
The post will be part of the ‘Trustworthiness auditing in AI’ project, which will research and develop tools and tests to evaluate the efficacy of AI accountability tools. The project involves intensive multidisciplinary collaboration across machine learning, philosophy, clinical and social psychology, and law.
The post-holder will collaborate with Professor Brent Mittelstadt, Professor Sandra Wachter, Dr Chris Russell, Professor Netta Weinstein, and other project researchers from law, philosophy, and psychology to undertake case studies in medicine and open science, and develop a meta-toolkit for trustworthy AI. With Dr Chris Russell, the post-holder will undertake research and develop methods to qualitatively and quantitatively evaluate different types of explanations of model outputs in meeting the needs of different audiences.
The position is suited to candidates who hold a postgraduate degree in a relevant discipline such as computer science, data science, statistics, mathematics, or others and have an interest in ethical and legal aspects of machine learning and AI (e.g. interpretability, fairness, bias, discrimination).
The successful candidate will have the ability to provide research support for a work package focused on technical aspects of interpretability and fairness in machine learning, and experience of publishing results in peer-reviewed international academic journals and conferences.
Excellent technical, analytic, and writing skills are essential. Expertise in machine learning, computer vision, human-computer interaction, or similar relevant areas, and prior experience with contributing to research publications in peer-reviewed academic journals and conferences are highly desirable.
Full details of the duties and the requirements for this post can be found in the Job Description link below.
Further queries can be directed to Professor Brent Mittelstadt [email protected].
You will be required to upload a supporting statement, a CV, and details of two referees as part of your online application. The closing date for applications is 12.00 midday on 2 June 2023.
Committed to equality and valuing diversity.
