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.