Postdoc in Data and Network Science at Oxford
We invite applications for a Postdoctoral Research Associate with a comprehensive background in network science or graph-based machine learning, to work alongside Professor Renaud Lambiotte at the Mathematical Institute, University of Oxford. The position is full time, fixed-term for 9 months, and the post-holder will be supported by a grant from the EPSRC. It is available for an immediate start.
The successful candidate will work alongside Professor Lambiotte and co-investigator Professor Xiaowen Dong at the Department of Engineering Science, and collaborate with Dr Luc Rocher at the Oxford Internet Institute, to conduct research as part of an exciting new project to test the feasibility of a graph-based machine learning and network- based approach to predict the emergence of collusion in online markets. They will have the opportunity to write up their results for publication and represent the Oxford Centre for Industrial and Applied Mathematics at external meetings/seminars, whilst also managing their own academic research and administrative activities.
Applicants will be expected to have, or be close to completing, a PhD in mathematics or a related discipline. They will possess sufficient specialist knowledge and experience in network science or graph-based machine learning to work within established research programmes. They will have excellent communication skills, including the ability to write for publications, present research proposals and results, and represent the research group at meetings, and be able to manage their own academic research and associated activities.
We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award, which guide our progress towards advancing racial and gender equality. As part of our strategic aim to improve staff equality and diversity, we would particularly welcome applications from women and BAME candidates, who are currently under-represented in positions of this type within the department.
Please direct informal enquiries to the Recruitment Coordinator (email: firstname.lastname@example.org ), quoting vacancy reference 155036.
Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae including full list of publications, a statement of research interests, and the contact details of two referees as part of your online application. (NOTE: Applicants are responsible for contacting their referees and making sure that their letters are received by the closing date).
Applications for this vacancy are to be made online. To apply for this vacancy and for further information, including a job description and selection criteria, please click on the link below:
Only applications received before 12.00 noon UK time on Tuesday 18th January 2022 can be considered.