Research Fellow (Data lab)

Location: Stirling Campus

The Post

The Partnership Project

Everywhere in the world people organize in relation to water. Its resources and assets provide essential 'goods' and 'services' and huge opportunities for the economy, society and communities. Harnessing these productively is a key route to optimising growth, value and community outcomes, as well as meeting important environmental goals.

This post is part of a £5m Local Policy Innovation Partnership (LPIP) project funded by UKRI (UK Research and Innovation) over 3 years to explore these issues in the Forth Water Basin in Scotland. The Partnership, called ‘FORTH2O’, involves six Universities and Institutes, as well as over eighty stakeholder partners (including Scottish Government, Scottish Water and SEPA). This is a hugely exciting opportunity to make a real difference for the health and wealth of our businesses, communities, and natural ecosystems. Through a range of innovative core research and data projects; challenge labs, innovation labs, and living labs; and a commissioning fund of £1.2m to support new activity, the partnership will play a vital role in ‘optimising outcomes’ from the water system.

Description of duties

• Management of the day-to-day operation of the Data Lab on behalf of the Partnership, taking a lead in the oversight and management of data in the cloud-based data centre
• Working with Data Lab and Partnership colleagues, access various datasets from a broad range of sources for ‘ingestion’ to the Data Centre
• Managing a team of Data Quality Analysts, assess and prepare data in the Data Centre for use within the Data Lab
• In conjunction with the Project Principal Investigator and Work Package staff, help lead decision-making about the retention and use of datasets within the project, as appropriate
• Manage the secure storage of and access to data in compliance with appropriate regulations, data centre protocols and the Data Management Plan

Essential criteria

• Completed, or near-completion, PhD in a relevant discipline (or extensive experience to a demonstrated equivalent level)
• Experience of assessing and working with data at different levels of scale and scope, including large datasets
• Comfortable assessing and working with datasets of different origins, formats and levels of uncertainty
• Have excellent collaboration skills with a diverse range of research partners. Be comfortable talking to a wide range of other stakeholders

For further information, including a full description of duties, essential criteria and details on how to apply, please see: Vacancy details | University of Stirling