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Assistant Professor on Organizational Behavior AI

Assistant Professor on Organizational Behavior AI

Are you are new Assistant Professor in Organizational Behavior and AI?
Universitaire docent
Faculteit Industrial Engineering & Innovation Sciences


Human Performance Management Group

The Human Performance Management (HPM) group focuses its research and education on the optimization of the role of human resources in operational processes of performance. In other words, how should we (re-)design work and organization to obtain a high-performance organization in which employees could work effectively, healthily and enjoyably. In this respect, we argue that the best fit between humans and work is achieved when both the human side and work side are integrally (re-)designed and (re-)developed to improve performance. Moreover, we carefully consider how technology may play a role in this, as an application area (e.g., in high-tech industry, in robotization), as a means for conducting research (e.g., wearables), and as tool for intervention (e.g., Apps, AI-support systems) toward optimized human performance in organizations. We work closely with an extensive network of industrial and institutional partners which provides us access to unique and challenging data. The HPM Group teaches courses at the undergraduate, graduate and PhD levels.

Job Description

With the establishment of the Eindhoven Artificial Intelligence Institute (EAISI), Eindhoven University of Technology aims to leverage the huge potential of AI to real-world applications in industrial engineering systems. Amongst others, the new institute will prioritize research into organizational applications of AI and the interaction between humans and machines. The candidate we are looking for will actively contribute to these research domains. (S)he will be directly involved in EAISI, yet will be appointed at the Human Performance Management Group of the Department of Industrial Engineering and Innovation Sciences.

The past decade we are witnessing the emergence of new research domain: organizational behavior and AI. Researchers in this domain are turning to the use of big data and computational analysis to gain a better understanding of the complex and dynamic processes underlying and supporting human performance in organizations. Within the Human Performance Management Group, high quality data are currently used to understand and support people’s functioning in (high-tech) organizational contexts, for example how they adopt and use new technologies (e.g. robots, AI), how to enhance decision making processes in organizations (e.g. decision support systems), for monitoring and supporting individual health (e.g., wearables), learning (e.g. learning analytics) and team processes (e.g. coordination).

With the new position, we aim to expand our group with an assistant professor (tenure track) to gain a better understanding of the social and psychological aspects of using AI to study human behavior in (high tech) organizational contexts. The aim will be to understand how the implementation and use of AI in organizational contexts impacts the input (e.g., talent selection), processes (e.g., collaboration, decision making), and outcomes (e.g., productivity, learning, well-being) of high tech organizations. This includes but is not limited to research on personnel selection and gender bias reduction, human-robot teaming, AI-informed decision making, AI-adoption processes, and people analytics. 

We are looking for a candidate to perform active research in the area of organizational behavior and AI; to teach and co-develop courses at the BSc and MSc level with an emphasis on the interplay between organization, humans and technology in different domains; to participate in the teaching of PhD students; and to contribute to the management of the group and the department.


  • PhD in organizational behavior, work & organizational psychology or a comparable domain;
  • Ability to conduct academic research of high quality on relevant (organizational) problems, demonstrated for instance by a PhD thesis and relevant publications;
  • Experience in techniques used in applying AI and Big Data methods;
  • Ability to teach, shown by experience or assistance in teaching in the areas mentioned above as well as positive evaluations of these teaching efforts
  • Creative and dedicated to (multidisciplinary) collaboration
  • Good communication and leadership skills
  • Excellent command of the English language. Note that there is no Dutch language requirement.


We offer:

  • A challenging job in a dynamic and ambitious university;
  • We offer a temporary appointment for five years in a Tenure Track. The Tenure Track can lead to a permanent appointment with the prospect of becoming associate professor.
  • A gross monthly salary between € 3.637 and € 4.978, based on a full-time appointment and depending on experience and knowledge. The salary is in accordance with scale 11 of the Collective Labour Agreement of the Dutch Universities (cao NU).
  • Enrolment into a program to acquire an official teaching certification from Dutch Universities (Basic Teaching Qualification);
  • Enrolment into a program on Academic Leadership;
  • A yearly holiday allowance of 8% of the yearly salary;
  • A yearly end year allowance of 8.3% of the yearly salary;
  • A broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, day-care, savings schemes, and excellent sports facilities).
  • Family friendly initiatives are in place, such as the Dual Career Opportunity program to support accompanying partners, an international spouse program, and excellent on-campus children day care and sports facilities.

Informatie en sollicitatie


More information about the HPM Group can be found at More information about this position should be addressed to prof.dr. Pascale Le Blanc, phone: +31 40 2475332, e-mail:

Information about terms of employment can be obtained from Susan Opgenoorth, HR advisor, phone: +31 40 2474465, email: Further information about Eindhoven University of Technology can be found at

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We invite you to submit a complete application by using the 'apply now'-button on this page. The application should include a:

  • Cover letter (two pages at maximum), where you motivate your interest in the vacancy and explicitly explain in which ways you represent a good match;
  • An extensive curriculum vitae including a publication list and teaching evaluations (if any);
  • Name and contact information of two persons willing to provide references;
  • If your degree is not from an English-spoken program, a proof of proficiency in English needs to be included in your package (such as IELTS or TOEFL).

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

We are committed to the cause of gender equality and, in case of equal suitability, we give preference to female candidates.

If you are interested, we invite you to apply no later than 15 October 2020. To apply use the “apply for this job” button at the top or the bottom of this page. Please note that you have to combine your documents to 1 with the maximum of 10 MB.  Please do not send us your applications by email.