Research Associate in Data Science

University of Sheffield - Faculty of Engineering - Department of Automatic Control and Systems Engineering

Contract Type: Fixed term until 30 September 2020

Summary:

We are seeking a researcher to work on data science activities across a flagship US-funded project in complex systems modelling – CASCADE [Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies]. The role will involve identifying, extracting and processing secondary data from the US and UK in support of a set of agent-based models of alcohol use behaviours. For elements of the models where secondary data is unavailable, you will undertake elicitation activities with world-leading experts from a range of disciplines. You will also contribute to the design and implementation of the evidence management and uncertainty quantification processes for the project. You will also help to communicate the findings from the project to other researchers and policy audiences.

The role requires a keen enthusiasm to work across disciplinary boundaries in developing world-class and transformative research in the modelling of social behaviours. During the project you will be able to draw on world-leading expertise in uncertainty quantification and computer model calibration in support of your role. The post offers a significant opportunity for a researcher to advance a career in analytics and the data sciences in active collaboration with a range of leading researchers.

Applicants should hold a good first degree in a relevant area along with a PhD or equivalent experience in a relevant area. You will have excellent IT skills, including experience in at least one of the following software packages: R, Python or Stata. Excellent communication skills are essential to the post, whilst experience of working in an inter-disciplinary research team would be an advantage. You will be able to assess and organise resources to meet agreed deadlines, and be able to work independently and on your own initiative.

Please note that it is anticipated that interviews and other selection activities will be held on Tuesday 12 September 2017.

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Northern England