Postdoctoral Researcher

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.



This fixed term position is available immediately for a duration of 14 months
(or to funding end date of 1 April 2025,) with a possibility of renewal
thereafter, subject to funding availability. The position is located in the
centre of Oxford.





They will work with Professor Brent Mittelstadt (Associate Professor and
Director of Research) and Professor Chris Russell on bias, fairness,
interpretability, and trustworthiness in medical AI applications involving
large language models (LLM), deep learning, and other state-of-the-art machine
learning methods.





The post will be part of the ‘Advancing machine learning to achieve real-world
early detection and personalised disease outcome prediction of inflammatory
arthritis’ project, funded by UKRI, which will advance ML to achieve real-
world early detection and personalised disease outcome prediction of
inflammatory arthritis.





The position requires a candidate with the ability to coordinate and deliver a
work package focused on technical aspects of bias, fairness, and
trustworthiness in machine learning for medicine, and publish results in peer-
reviewed international academic journals and conferences.





The post-holder will be responsible for coordinating and leading work to
measure trustworthiness and mitigate bias in LLMs, deep learning (including
convolutional neural networks), semi-structured healthcare data, and
unstructured GP records. They will also collaborate with researchers leading
work to develop novel interpretability methods in medical AI.





Excellent technical, analytic, and writing skills, and expertise in machine
learning, natural language processing, 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 ideally have experience working with
deep learning methods particularly in the context of LLM training and fine-
tuning. They will also have an interest in fairness, accountability, and
ethics in machine learning and AI, as well as applications of machine
learning/AI in medicine and healthcare.





Full details of this post can be found in the Job Description link below.





Please direct any queries regarding this role to Brent Mittelstadt –
brent.mittelstadt@oii.ox.ac.uk.





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 8 November 2023.





Interviews for those short-listed are currently planned to take place the week
commencing 20 November 2023.





**_Committed to equality and valuing diversity._**