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.
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.
More information about the HPM Group can be found at http://www.hpmtue.nl. More information about this position should be addressed to prof.dr. Pascale Le Blanc, phone: +31 40 2475332, e-mail: firstname.lastname@example.org
Information about terms of employment can be obtained from Susan Opgenoorth, HR advisor, phone: +31 40 2474465, email: email@example.com. Further information about Eindhoven University of Technology can be found at www.tue.nl.
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