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ESR#7 PhD position in Learning Analytics (UvA-FEB), Amsterdam

PhD position in Learning Analytics at the Amsterdam Business School, in the Faculty of Economics and Business, University of Amsterdam (UvA), Amsterdam (NL)

Project: Labour market driven learning analytics

The objective of this project is to improve educational outcomes in higher education with the help of valid labour market data. In order to achieve this, data on graduates of the University of Amsterdam and the Hogeschool van Amsterdam (HvA) will be matched to employee data obtained from Randstad (one of the largest employers in the Netherlands) and GITP.  The candidate will explore Person-Education-Labour 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 visualisation. Requires knowledge management techniques for big data analysis.


  • Master's degree (MSc, MA) in the area of Business Informatics (Knowledge Management) or Information Science (Artificial Intelligence, Data mining, Data Representation) with excellent grades and a demonstrable interest in this area
  • Demonstrable experience with, or a strong interest in designing and executing quantitative, qualitative, and/or mixed-method studies
  • Good writing and public speaking skills (e.g., delivering a conference presentation, teaching)
  • Analytical skills, creativity, precision, proactivity, and perseverance
  • Ability to work in a team and independently
  • Strong motivation to pursue a career in science
  • Mastery of both written and spoken English


  • High thesis grade
  • Research Master degree
  •  Second Master's degree (MSc, MA) in the area of business (business studies, business administration, management, HRM) or applied psychology (work and organizational psychology) or related field(s) with excellent grades and a demonstrable interest in the area of human resources management
  • Publication(s) in peer reviewed journal(s)
  • Honours distinction

More information

Project information can be obtained from Dr. Stefan Mol; e-mail:; phone: +31205255490 and Dr. Gábor Kismihók; e-mail:; phone: +31205258668


Based on a full-time appointment the duration of the appointment as a Marie Curie ITN fellow will be for maximum period of 3 years and will, in line with the duration of a PhD study in the Netherlands, be extended another year according to the employment rules of the University of Amsterdam. The appointment will be 12 months plus a further 36 months after a positive evaluation and should lead to a dissertation (PhD thesis). A Personal Career Development Plan will be drafted that includes the attendance of EDUWORKS courses and (international) meetings. The PhD student is expected to assist in teaching of undergraduates.

The gross monthly salary will be according to the Marie Curie ITN salary scales for PhD students in the host country. The collective employment agreement (CAO) of Dutch universities is applicable. Besides the salary, the PhD student will obtain a mobility allowance for the duration of the 3 years of the Marie Curie ITN project. For the one-year extension of the appointment after the Marie Curie  project, the gross monthly salary will be according to the salary scales of the University of Amsterdam. Positions are aimed at being full-time, but by exception, if needed for family reasons, part-time appointments are possible.

Host institute: Center of Job Knowledge Research, HRM-OB section, Amsterdam Business School, University of Amsterdam

The University of Amsterdam (UvA) has an outstanding reputation for research at both the national and the international levels. Quality assessments and success in competitions for grants, for example from the Netherlands Organization for Scientific Research (NWO) or the European Framework Programmes, and the appreciation for UvA as a partner in international research cooperation, attest to the quality of UvA researchers. UvA is a member of the prestigious European League of Research Universities.

The Amsterdam Business School (ABS) is part of the Faculty of Economics and Business. ABS provides academic courses in accounting, finance, general management, human resource management, organizational behavior, leadership, marketing, and strategy, based on international research carried out in these areas. Within ABS, the Human Resource Management and Organizational Behavior (HRM-OB) section is involved in teaching at BSc and MSc levels, as well as in executive education. Staff members publish in top-tier journals including among others the Journal of Applied Psychology, Journal of Management, Journal of Management Studies, Leadership Quarterly, Organization Studies  and Journal of Organizational Behavior.

The UvA is located in the centre of Amsterdam. For more information please visit the Center of Job Knowledge Research and the HRM-OB section of the Amsterdam Business School.

Apply for this vacancy



February 17 2015, New publication!

The paper "Labour Market DrivenLearning Analytics" penned by V Kobayashi, S T Mol and G Kismihok from the University of Amsterdam has been published in the peer-reviewed Journal of Learning Analytics. Read more at

January 07 2015, Webdatanet Conference

The Webdatanet Conference that will take place in Salamanca, Spain,  on 26 – 28 May 2015.

The conference will consist of paper presentation sessions, poster session, round tables and Task Force meetings. We encourage you to submit a paper either to the Eduworks session/workshop or to any other session you may be interested in. See the whole list of sessions and relevant information in the call for papers for the conference that can be found following the below link.

November 24 2014, EP4LA @ LAK15: Call for Papers

EP4LA @ LAK15: Call for Papers

Ethics and Privacy in Learning Analytics 


Half  day workshop during 5th Learning Analytics & Knowledge Conference, March  16 - 20, Marist College, Poughkeepsie, NY, USA



The large-scale production, collection, aggregation, and processing of information from various learning platforms and online environments have led to ethical and privacy concerns regarding potential harm to individuals and society. In the past, these types of concern have impacted on areas as diverse as computer science, legal studies and surveillance studies.


We call for papers about Ethics & Privacy in the Application of Learning Analytics research.

For more information on the work leading up to the workshop, the workshop format, and plans for publications - visit the EP4LA website

June 30 2014, First Eduworks publication!

We got our first publication in the frame of Eduworks accepted for publication and printing! It was written by Cristian Weber, Eduworks PhD student at Corvinno.

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