Qualitative Digital Footprints Research Associate
2 weeks ago
We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.
What’s in it for you? Newcastle University is a great place to work, with excellent benefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.
Newcastle is an inclusive global University community where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.
**Salary**: £32,348 to £34,308 per annum
**Closing Date**: 15 March 2023
The Role
Are you experienced in working with digital data in social science research? Interested in who is using these data, how, why, and—especially—what barriers these researchers currently face? Are you a team player with the ability to engage with diverse groups of stakeholders to collect and distill input, with the aim of contributing expert advice on research investments?
Digital Footprints Data—including social media and internet derived data, geospatial data, sensor and image data, and transactional and commercial data—are poised to revolutionise social science research. To reach the potential these data offer for meeting societal challenges and contributing to impactful and innovative social science research, a number of challenges must be met. We seek a dynamic and engaged post-doctoral research associate to work as part of a Strategic Advice Team to provide the ESRC with input to help shape their Digital Footprints Data programme.
This is an excellent opportunity for an early-career researcher to gain expertise in “the science of science” where social science research and Digital Footprints Data are concerned. The Research Associate will work closely with Team members from Newcastle University, the University of Liverpool, and the Alan Turing Institute, as well as with the ESRC, to develop outreach activities, questionnaires and workshops and to communicate findings in written reports, meetings, and presentations. The post is for 24 months, with 20 months allocated to the ESRC Digital Footprints Strategic Advice Team project and 4 months for developing individual and collaborative research expertise in this area.
The Research Associate will join Newcastle University’s Data Centre of Research Excellence (NUCoRE) and will be part of the Centre for Urban and Regional Development Studies (CURDS) in the School of Geography, Politics and Sociology. This is a unique opportunity for a social sciences-oriented scholar to work with world-class researchers in data science, as well as urban and regional development and policy.
Key Accountabilities
Identify and engage with key stakeholders in the Digital Footprints Data (DFD)ecosystem and develop and conduct interviews and questionnaires to elicit information about needs, preferences, and existing barriers where DFD are concerned
Participate in meetings and workshops to share findings, collect input, and engage with the DFD community
Act as an ESRC DFD “champion” to help highlight opportunities and build a UK and international network of data users, providers, and infrastructure developers
In collaboration with the Team, develop “data dive” activities to showcase DFD potential engage with existing investments
Draft reports to the ESRC and present findings from questionnaires, workshops, and interviews
The Person (Essential)
Knowledge, Skills and Experience
Substantive research experience in one or more of the following areas: geography, economics, sociology, politics, or another social science domain
Demonstrable understanding of the Digital Footprints Data landscape, either through analytical expertise or critical engagement with issues related to the use of DFD
Quantitative analytical experience, especially with DFD, and expertise in appropriate tools (e.g., R, python, Stata)
Qualitative analysis skills and experience, including semi-structured interviews, questionnaire design and administration using appropriate tools (e.g., Nvivo, Atlas/ti, or QDA Miner)
High level of analytical and problem-solving capacity
Understanding of the UK research council funding landscape
Attributes and Behaviour
Willingness to take initiative and self-start
Detail-oriented, especially with regard to data management and writing
Willingness to work as part of an interdisciplinary team, which includes both quantitative and non-quantitative researchers
A willingness to network and community build, in person, virtually and via social media
Excellent communication and organization skills
**Qualifications**:
PhD (or equivalent) in a social science or related discipline
The University ho
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