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 
Reference: 7337
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 


Job description

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.

 Please contact Prof. Maria Savona (M.Savona@sussex.ac.uk) or Dr. Tommaso Ciarli (ciarli@merit.unu.edu) for informal enquiries.

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.

Download the full job description and person specification (reference number 7337) (PDF 132KB)

The University requires that work undertaken for the University is performed from the UK. 

Visa Sponsorship Queries:

This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship. Please consult our Skilled Worker Visa information page  for further information about Visa Sponsorship.

Please note that this position may be subject to ATAS clearance if you require visa sponsorship.

 


How to apply

Download our academic application form [DOC 199.50KB] and Personal Details and Equal Opportunities Form [DOC 119.50KB] and fill in all sections.

Email your completed application, and personal details and equal opportunities form, to usbsrecruitment@sussex.ac.uk  

You should attach your application form and all documents to the email in PDF format (we are unable to accept applications as google.docs or .pages) and use the format job reference number / job title / your name in the subject line.

You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.

Download our terms and conditions summary for Research faculty [PDF 11.39KB]


You might also be interested in: