|Salary:||£34,308 to £42,155 per annum. Grade 07S|
|Placed On:||24th March 2023|
|Closes:||24th April 2023|
Location: Oxford Internet Institute - 1 St Giles - OX1 3JS
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 Postdoctoral Researcher to collaborate with Professor Brent Mittelstadt (Associate Professor and Director of Research), 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.
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 multi-disciplinary collaboration across machine learning, philosophy, clinical and social psychology, and law.
This fixed term position is available immediately until 31st December 2024, with a possibility of renewal thereafter, subject to funding availability. The position is located in the centre of Oxford.
The position requires a candidate with the ability to coordinate and deliver a work package focused on technical aspects of interpretability and fairness in machine learning, and public results in peer-reviewed international academic journals and conferences.
In collaboration 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.
Excellent technical, analytic, and writing skills, and expertise in machine learning, computer vision, human-computer interaction, or similar relevant areas are required. A record of publication in international peer-reviewed journals and the proven ability to collaborate across disciplines, both commensurate with the stage of the candidate's academic career, are very desirable.
The position is suited to candidates who hold or are near completion of a PhD/DPhil in a relevant field such as computer science, data science, statistics, or mathematics. They will also have an interest in the legal and ethical aspects of machine learning and AI (e.g. interpretability, fairness, bias, discrimination). They will possess knowledge about current developments in the platform economy and have previous experience of contributing to publications and/or presentations.
Full details of this post can be found in the Job Description link below.
Please direct any queries regarding this role to Professor Brent Mittelstadt email@example.com.
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 Monday 24th April 2023.
Interviews for those short-listed are currently planned to take place the week commencing 8th May 2023.
Committed to equality and valuing diversity.
Type / Role: