PhD candidate Human Resource Management II | University of Amsterdam Business School (ABS)

Faculty of Economics and Business – Amsterdam School of Economics

The University of 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.

Amsterdam Business School Research Institute: The University of 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.

Project description

Project: Leveraging the potential of job knowledge to fit individuals to jobs: Studies in training.

The objective of this project is to generate support for the widely held but seldom investigated belief that job related training contributes to job knowledge and therewith to job performance, thereby forging a link between educational institutions and the labour market. We foresee close collaboration with ESR#12. The project contributes to our understanding of how intelligent algorithms may be used to ameliorate (mis)matches between person’s abilities and job demands. Research methods include (quantitative) literature review and practitioner interviews to investigate the conditions under which organizations are better off training their incumbents’ job knowledge or hiring new employees with such job knowledge. Collection of qualitative job knowledge data for a particular job through interviews with job incumbents (N>50) and HR managers (N>20); additional qualitative data from vacancies and job related documentation. Data will be content analysed in order to yield the job knowledge dimensions that are key to job performance in this job. Multisource and multiwave surveys (N>500) will be employed for psychometric validation and to investigate temporal dynamism in the co-development of job knowledge and job performance over time.

Requirements

1. Master's degree (MSc, MA) in the area of business (business studies, business administration, management, Knowledge 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;

2. demonstrable experience with, or a strong interest in designing and executing quantitative, qualitative, and/or mixed-method studies;

3. good writing and public speaking skills (e.g., delivering a conference presentation, teaching);

4. analytical skills, creativity, precision, proactivity, and perseverance;

5. ability to work in a team and independently;

6. strong motivation to pursue a career in science;

7. mastery of both written and spoken English.

Preferably

1. High thesis grade;

2. research Master degree;

3. publication(s) in peer reviewed journal(s);

4. honours distinction.

Further information

Project information can be obtained from:

- Dr. Stefan T. Mol

T: +31 (0)20 525 5490

- Dr. Gábor Kismihók

T: +31 (0)20 525 8668

Appointment

Based on a full-time appointment the duration of the appointment as a Marie Curie ITN fellow will be for a 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 Dutch universities salary scale. 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 (without the mobility allowance). Positions are aimed at being full-time, but by exception, if needed for family reasons, part-time appointments are possible.

Appliation deadline: 15 October 2013