Postdoctoral Researcher in the topological data analysis of lung and kidney cancer

We have an exciting opportunity for a Postdoctoral Researcher in the topological data analysis of lung and kidney cancer. Based at the Oxford Ludwig Institute for Cancer Research, you will be supervised by Professor Helen Byrne, together with Professor Heather Harrington (Mathematical Institute) and Dr Erik Sahai (Crick Institute, London).

You will develop and apply methods from topological data analysis to quantify the spatial distribution of immune cells within lung and kidney cancers (both primary and metastatic) and their relationship to the architecture of the extracellular matrix. You will also seek to implement inference methods to determine the temporal evolution of tumour microenvironments and the migratory routes of immune cells. You will write up your results for publication and participate fully in the activities of the research group.

You will be responsible for managing your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will adapt existing and develop new research methodologies and materials, and prepare working theories and analyse qualitative and/or quantitative data from a variety of sources, reviewing and refining theories as appropriate. Other duties will include presenting papers at conferences or public meetings and representing the research group at external meetings and seminars.

It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, data science, statistics, computer science or a related discipline. You will possess sufficient knowledge of data analysis and/or topological data analysis to work within established research programmes of the Ludwig Institute for Cancer Research, the Mathematical Institute’s Wolfson Centre for Mathematical Biology and its Centre for Topological Data Analysis, and the Crick Institute. It is essential you have experience of computing and working with data, and an enthusiasm for learning about the growth and treatment of cancer.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time on a fixed term contract until 31 March 2028 and is funded by the Mark Foundation.

Only applications received before 12 midday on 18 March 2025 will be considered. Please quote 178221 on all correspondence.

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