**** Apologies for cross-posting ****

Copenhagen Business School invites applications for a vacant postdoc within the field of European labour market analysis and unemployment data with a specific focus on profiling of unemployed. The three-year post-doc (research and teaching) is part of the H2020 funded HECAT project (Disruptive Technologies Supporting Labour Market Decision Making) which is led by Dr Ray Griffin at Waterford Institute of Technology, Ireland and carried out in association with nine other consortium members. Copenhagen Business School is the leader of work package 2 on labour market metrication.


The postdoc is a non-tenured position for a three-year period, which entails two years of research and one year of teaching obligation. The post-doc will be affiliated with the Department of International Economics, Government and Business, which brings together the study of states, markets, and international firms in the context of societal challenges faced by emerging and advanced economies. Read more about the department here


The HECAT project aims to investigate, demonstrate and pilot a profiling tool to support labour market decision making by unemployed citizens and caseworkers in Public Employment Services (PES). The ambition of the project is to improve citizens´ experience and outcomes of unemployment by offering real-time evidence-based insight into their personal position in the labour market. The project builds on the experience of existing basic algorithmic techniques used by some European PES administrations to deliver labour market insight directly to unemployed citizens and so is built on European values of open data, collaboration, transparency and citizen-participation. For more information on HECAT please check here


As part of the overall project, the team based at CBS will critically assess existing profiling systems for unemployed in public employment services with a focus on the underlying data and indicators. It will map and conceptualise the appropriateness of existing statistical data sources at the European level and in the pilot site(s) with regard to drawing out profiling indicators with a view on the perceived needs of the unemployed and case workers. It will also uncover gaps in current data collections in view of an ethical, sustainable and quality vision of labour market integration. It will also critically explore the limitations of data for profiling purposes with regard to data privacy, frequency and timeliness of data.


Deadline 23 March 2020

Best regards
Bersant Hobdari

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