Detailed information about selected course/program
EU code
4.2 - Business Studies with technology
Mobility
4 - Post-Doc
Location
University of Amsterdam, The Netherlands
Subject
Human Resource Management/Organizational Behavior
Course/Program
Postdoc in Person-Education-Labor Market Matching Processes
Language
English
Language requirements
Applicants are required to take an English proficiency test. You may take the TOEFL or the IELTS to satisfy this requirement. The minimum score on the TOEFL test is 600 for the paper-based test (PBT), or at least 100 for the Internet-based test (IBT) and the minimum score on the IELTS is 7 on a 9-point scale.
Academic requirements
PhD degree in the area of Business (Business Studies, Business Administration, Management, Knowledge Management, HRM) or Applied Psychology (Work and Organizational Psychology)  or related field(s) and publication(s) in the one or more of the aforementioned areas. Demonstrable experience with, or a strong interest in, designing and executing quantitative, qualitative, and/or mixed-method studies.
Max available positions
2
Information
The project will contribute to our understanding of how intelligent algorithms may be used to identify (mis)matches between person’s job knowledge, education/training, and job demands. Big data collected on individuals, educational curricula/online learning environments, and the labor market/jobs will form the input of an ontology based personnel selection and training system (see for example www.ontohr.eu and www.med-assess.eu). The candidate will explore Person-Education-Labor market (mis)matches by aggregating individual level data to the meso-level. Methods include big data analytics, including classification, cluster analysis, data fusion and integration, neural networks, pattern recognition, predictive modelling, regression, time series analysis, and visualization. Requires knowledge management techniques for big data analysis.
Homepage
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Duration
9 months between Sep 1 2014 and Jun 1 2015
Contact person
Dr. Stefan Mol (s.t.mol@uva.nl)