Two Data Stewards (2 x 1.0 FTE)

Updated: about 2 months ago
Deadline: 03 May 2021

A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University , the various disciplines collaborate intensively towards major societal themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Sustainability.

Utrecht University's Faculty of Geosciences studies the Earth: from the Earth's core to its surface, including man's spatial and material utilisation of the Earth - always with a focus on sustainability and innovation. With 3,400 students (BSc and MSc) and 720 staff, the faculty is a strong and challenging organisation. The Faculty of Geosciences is organised in four Departments: Earth Sciences, Human Geography & Spatial Planning, Physical Geography, and Sustainable Development.


The department of Human Geography and Spatial Planning has a strong tradition of working with geographical and behavioural data. This includes data gathered by our Researchers in surveys, interviews, focus groups and observations, but also secondary data. Secondary data includes large surveys and panels (e.g., Woon, ODIN, MPN, LISS), register data (e.g., CBS Social Statistical Data, Patent Data), but also geographical data sets concerning e.g. land use, greenery and air quality. As part of our research programme Urban Futures, we participate in various initiatives for developing data driven research infrastructures in the domains of health (Vitality Data Center), transportation (Urban Mobility Observatory) and social sciences (ODISSEI). We aim to play a leading role in developing these infrastructures further as a base for collaborative research projects. Besides research, in various Bachelor's  and Master's educational courses in which the department is involved, data plays an important role in various way across various courses.


Within the Copernicus Institute of Sustainable Development a wide variety of data is being acquired, analysed and generated, ranging from the natural to the social science domain, all in support of research linked to sustainable development. This data consists of for instance time-series of photovoltaic power generation at various time resolutions, satellite images for land use change research as well as for weather and renewable energy forecasting, data needed for and generated by global climate models such as IMAGE-TIMER, privacy-sensitive data from interviews, remote sensing data on grasslands and tiger habitats, spatially explicit data of plant diversity, nutrients, and productivity, formal and informal data supporting innovation system analyses, and data for analyses of governance processes. In addition, this data is part of many collaborative research projects in which also third parties are involved, thus requiring compliance with GDPR and confidentiality. Besides research, in various Bachelor's and Master's educational courses in which the department is involved data is also collected by students and staff.


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