Research Fellow in Economics of Innovation and Data Science Ref 5634
School/department: University of Sussex Business School, Science Policy Research Unit (SPRU)
Hours: Full time hours considered up to a maximum of 1 FTE. Requests for flexible working options will be considered (minimum 0.8FTE).
Contract: Fixed term for 24 months, with the possibility of extension (subject to funding).
Salary: Starting at £33,797 to £40,322 per annum, pro rata if part time.
Placed on: 19 April 2021
Closing date: 24 May 2021. Applications must be received by midnight of the closing date.
Expected interview date: To be determined
Expected start date: As soon as possible by 1 June 2021
The Science Policy Research Unit (SPRU), within the University of Sussex Business School at the University of Sussex, is seeking to appoint a Research Fellow to work on a new EU funded Horizon2020 project on Pathways to Inclusive Labour markets (PILLARS).
The PILLARS project will study 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. More details on the project below, here or contacting the project members.
The Research Fellow will primarily focus on measuring which automation technologies are more likely to advance in the near future. They will use data mining, machine learning, and text analysis methods to analyse unstructured data on Science, Technology and Innovation (STI) to estimate the industry exposure to such emerging automation technologies. They will combine STI data with available data on companies websites and online job vacancies to provide an unprecedent analysis on how technology adoption and skill demand will evolve.
The Research Fellow will work in collaboration with a team of top innovation scholars, economists, and job market data scientists in SPRU and partner organisations, and two Research Fellows that will be recruited in due course. Funding will be available to recruit Research Assistants to support data collection and analysis, participate in several projects meetings and workshops to refine methods and data, as well as external conferences and workshops. As part of PILLARS, they will also have access to several data sources on job markets, companies, as well as STI.
The ideal candidate, will have a PhD in Economics or equivalent disciplines, with a strong curriculum on data science. They will have curiosity to explore new data and methods, and wiliness to work in an interdisciplinary, collaborative, and stimulating team and project. They may have a background on the analysis of STI corpora, and other unstructured data, and a background on economics of innovation theories, especially in relation to employment and the organization of work and industries. Ability to think about new ways of combining data to explore the dynamics of technologies is welcome.
The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.
Visa Sponsorship Queries:
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