Research Assistant or Fellow in Data Analytics

University of Leeds

Leeds, UK

27,025 to £39,609 p.a.

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Are you a highly motivated researcher that enjoys working with large datasets?

Can you work outside your comfort zone in an interdisciplinary work environment?

Would you like to produce high impact research in collaboration with industrial partners?

QuantiCode (Intelligent infrastructure for quantitative, coded longitudinal data) has been funded under the EPSRC Making Sense of Data call (part of the Towards an Intelligent Information Infrastructure (TI3) cross-ICT priority). QuantiCode’s researchers have been developing novel data mining and visualisation tools and techniques, which have the potential to transform people’s ability to analyse quantitative and coded longitudinal data (such data is common in many sectors e.g. health and retail).

The project brings together experts in statistics, modelling, visualisation, user evaluation and ethics, and is based in the new £15m Leeds Institute for Data Analytics (LIDA). The project involves collaboration with seven local/national organisations from industry and the public sector, which are providing useful cases and helping to evaluate the tools.

As part of the team, you will develop tools and techniques for optimising accuracy of statistical and machine learning models for large datasets under computational time constraints.


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