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Postdoctoral Research Associate in Machine Learning for Social Network Analysis


Grade 7: £33,309 - £40,927 p.a.

Closing date

Oct 29, 2021 12:00PM


We are seeking a full-time Postdoctoral Research Assistant experienced in Machine Learning for Social Network Analysis to join Professor Xiaowen Dong’s and Professor Janet Pierrehumbert’s research groups in the Department of Engineering Science at the University of Oxford. This is a fixed term role until 30th September 2023 with possible extension subject to funding.


This is a research project that aims to diagnose and predict social fragmentation and the echo-chamber effects in online discussion forums, such as Reddit. You will be required to develop and implement novel graph-based machine learning and natural language processing algorithms to identify and predict social fragmentation at early stages of the online discussion. You will also write reports on your research and publish these as papers in leading conferences and journals.


You should possess a doctorate, or be near completion of a doctorate, in machine learning, signal processing or a relevant subject, together with a good publication record at major machine learning and signal processing venues, with a background in graph-based machine learning (e.g., graph neural networks, graph signal processing) and/or social network analysis. 


Informal enquiries may be addressed to Prof Xiaowen Dong ( or Prof Janet Pierrehumbert (


Only applications received before midday on 29th October 2021 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.


The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

Contact name

Professor Xiaowen Dong

Contact email