Departmental setting

The Department of Industrial Engineering and Innovation Sciences (IE &IS) engages in research and teaching in the areas of industrial engineering, management science, and innovation science. The mission of the department is closely tied to its pioneering work in developing an engineering perspective on business processes, as well as its interdisciplinary research on transitions in societies in relation to technical changes. At the heart of its academic philosophy is the synergy between research and teaching. The department offers an academic environment in which scholars and students work on critical problems at the interface of engineering, management and innovation. The department has two schools: Industrial Engineering (IE) and Innovation Sciences (IS). The school of Industrial Engineering focuses on the design, behavior and performance of operational and innovation processes in industrial and service organizations. It covers the complete business chain of product design, process design, production, purchasing, outsourcing, distribution and marketing & sales. 

The School of Industrial Engineering currently includes the following research groups:

The open position is part of the Human Performance Management and Operations Planning, Accounting & Control group. 

Human Performance Management and Operations Planning, Accounting & Control group

The Human Performance Management group (HPM) and the Operations, Planning, Accounting, and Control group (OPAC) at Eindhoven University of Technology are looking to appoint a one-year postdoctoral fellow for a project funded by the Dutch Institute for Advanced Logistics (TKI Dinalog).   

Description of the position

The effective planning of materials and goods is of crucial importance in any logistic process as it directly impacts the performance of the organization. In order to optimize this process, organizations increasingly rely on advanced decision support systems that support their planners to make optimal decisions. However, both literature and organizational practice indicate that the acceptance of these support systems is rather limited. The goal of the postdoctoral project is to address this issue by answering the following research questions. First, when and why are planners hesitant to use these advanced systems in their daily operations and what motivates them to continue to rely on their own intuitions in finding solutions? Second, how can these tools and the organizational context be redesigned in such a way that their acceptance is increased? We collaborate in this project with the University of Groningen and multiple (international) companies. In addition, we currently have a PhD student working on a closely related topic, which should lead to synergy.

Research

The selected postdoc performs active research, collaborate with current faculty, and publishes on the research in academic journals.

 Teaching

As a PostDoc you will spend 5-10% of your time supervising MSc and/or BSc thesis projects that focus on understand how people interact with decision support systems.