Research Fellow in Economics of Innovation and the Future of Work Ref 7337
School/department: University of Sussex Business School, Science Policy Research Unit
Hours: full time (or a minimum 0.8 FTE). Requests for flexible working options will be considered (subject to business need).
Contract: fixed term full time for 18 months, with possibility of extension
Salary: starting at £34,304 to £40,927 per annum, pro rata if part time
Placed on: 30 November 2021
Closing date: 17 January 2022. Applications must be received by midnight of the closing date.
Expected interview date: TBC
Expected start date: February 2022 or as soon as possible
The Science Policy Research Unit at the University of Sussex Business School, is seeking to appoint a Research Fellow to work on an EU funded Horizon2020 project on Pathways to Inclusive Labour markets (PILLARS). The PILLARS project studies how changes in emerging automation technologies, their adoption along GVCs, and industrial transformations, affect the future of work, including through the reconfiguration of the demand for skills.
The Research Fellow will:
- Combine unique granular data on emerging technologies and online job vacancies for all European countries and the UK;
- Estimate the impact of automation on the future of work, through the exposure of industries and occupations to emerging automation technologies (industry 4.0) in European and UK regions;
- Co-author publications in top field journals;
- Supervise Research Assistants helping with data cleaning;
- Collaborate with a team of top innovation scholars, economists, and job market data scientists in UNU-MERIT, Ifo, Paris School of Economics, Utrecht University, University of Milan and Catholic University of Eichstätt-Ingolstadt
Essential criteria for the position include:
- A PhD (or close to completion) in Economics, Economics of Innovation, Labour economics, Data Science, Geography or related quantitative social sciences
- Excellent programming skills with data analysis packages (SQL, Python, R)
- Experience with the analysis of STI data (patents and publications)
- Good knowledge of the literature on employment and technological change
- Ability to explore new unstructured data and methods, and willingness to work in an interdisciplinary, collaborative, and stimulating team and project.
The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.
You can find out more about our values and our EDI Strategy, Inclusive Sussex, on our webpages.
The University requires that work undertaken for the University is performed from the UK.
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