Assistant Professor (1,0 fte) in Business Intelligence

Research / Academic
The department of Industrial Engineering & Innovation Sciences (IE&IS) engages in education and research in the area of operational business processes and transitions in societies in relation to technical changes. In the IE&IS department, scholars and students work together on critical problems at the interface of engineering, management, innovation, and human behavior. The department has two schools: The School of Industrial Engineering and the School of Innovation Sciences.

The School of Industrial Engineering is one of the leading IE schools in Europe, with a strong presence in the international research and education community. Within the School of Industrial Engineering four degree programs are taught: BSc in Industrial Engineering & Management Science, MSc in Operations Management & Logistics, MSc in Innovation Management, and PhD in Operations, Logistics and Innovation Management. The research in the School is strongly connected to the Brainport area, the high-tech industrial area around Eindhoven.

The Information Systems group performs research and teaches in business information systems, focusing on advanced support of operational business processes and business services, both within individual organizations and in the context of dynamic networks of organizations. Research aims at decision support systems, design and analysis tools, and information system architectures, using advanced prototypes.

The research approach is model-centric and engineering-oriented, integrating basic and applied research with contemporary real-world cases. Main application domains are the services industry, healthcare, supply chains and logistics, and high-tech manufacturing. The research of the group is organized in an open, topic-oriented, dynamic cluster structure. There is a constructive atmosphere and an open culture. The philosophy of the group is based on personal attention and room for individual ambitions and talents.

Job description

The Assistant Professor will initiate, perform, and supervise high-quality research in the area of Business Intelligence; teach and co-develop courses in Bachelor and Master Programmes of the School of Industrial Engineering; initiate and contribute to externally funded research projects; assist in the supervision of Ph.D. students and contribute to the management of the group and the department. The Assistant Professor knows how to integrate insights from theory and industrial practice, and has a strong engineering approach to problem solving. The Assistant Professor is a creative and pro-active team player eager to join interdisciplinairy research teams.

The Assistant Professor does research into techniques and software tools of data engineering, for the analysis and (re-)engineering of operational processes. An example of a research direction is the use of (real-time) data to steer and improve decision-intensive operational business processes that have to be performed in a timely fashion in an uncertain business environment, e.g. maintenance or transportation. However, the focus can be on various aspects of the area of business intelligence, including but not limited to: (the formal background of) business process modelling, quantitative analysis of business processes, novel methods for data analysis (e.g. from AI and computational intelligence), data driven decision making, and process mining. With an embedding of the position in the school of Industrial Engineering, special attention will be paid to applications of the techniques and tools in domains such as services industry, high-tech manufacturing, healthcare, logistics, and transportation.


The candidate is expected to have the following qualifications:
  • A PhD degree in a relevant field such as information systems, artificial intelligence, computer science, business engineering or industrial engineering with IS specialization;
  • Ability to conduct academic research of high quality on relevant problems,  demonstrated for instance by a relevant PhD thesis and/or publication.
  • Ability to teach, shown for instance by experience or assistance in teaching and positive evaluations of these teaching efforts.
  • Creative and dedicated to (multidisciplinary) collaboration.
  • Good communication and leadership skills.
  • Excellent proficiency (written and oral) in English.

Salary Benefits:

  • A meaningful job in a dynamic and ambitious university with the autonomy to develop your own research line and participate in the curriculum of the department.
  • A Tenure Track of five years with the prospect of becoming Associate Professor. After a maximum of 4 years the tenure decision will be made. If you have a more senior profile, you will receive a tailor-made career proposal.
  • As an Irène Curie Fellow, you are entitled to a substantial start-up package to kick-off your career.
  • We provide support such as training programs for academic leadership, the university teaching qualification, and a dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
  • Salary and benefits are in accordance with the Collective Labor Agreement for Dutch Universities.
  • Additionally, an annual holiday allowance of 8% of the annual salary, plus a year-end allowance of 8.3% of the annual salary.
  • A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, savings schemes.
  • 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.

We are also open to application by candidates with some years of experience as Assistant Professor.
Work Hours:

38 hours per week


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