英国牛津大学2023年招聘博士后职位（人工智能/机器学习）

牛津大学（University of Oxford），简称“牛津”（Oxford），位于英国牛津，是一所公立研究型大学，采用传统学院制。是罗素大学集团成员，被誉为“金三角名校”、“Doxbridge”、“G5”，全球大学校长论坛成员。牛津大学的具体建校时间已不可考，但有档案明确记载的最早的授课时间为1096年，亨利二世在1167年禁止英国学生就读巴黎大学，因得到了英国王室的大力支持而快速发展。

牛津大学是英语世界中最古老的大学，也是世界上现存第二古老的高等教育机构。从1902年起，牛津大学还设立了面向全世界本科生的“罗德奖学金”。

Postdoctoral Researcher

University of Oxford

United Kingdom

November 08, 2023

Contact:N/A

Offerd Salary:£36,024 - £44,263

Location:N/A

Working address:N/A

Contract Type:Other

Working Time:Negotigation

Working type:N/A

Ref info:N/A

Postdoctoral Researcher

Oxford Internet Institute, 1 St Giles, Oxford 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.

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.

Contact Person : OII Recruitment Vacancy ID : 168496 Contact Phone : Closing Date & Time : 08-Nov-2023 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : recruit@oii.ox.ac.uk Salary (£) : Grade 07S: £36,024 - £44,263 per annum

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