We are seeking for a talent with a background in a combination of organizational behaviour (OB), change management, cross-cultural management, and operations management. We expect you to have acquired expertise in various (high-tech) research methods in business administration (qualitative, quantitative, or a mix), taught or co-developed OB-type courses, and can connect your research to the domains of industrial engineering or business information systems. Within the HBE department, you will be able to link your expertise to various other themes such as smart-industry, supply chain management, transportation and logistics management, innovation management, healthcare operations, technology-based entrepreneurship, purchasing and supply management, cyber security, financial engineering, e-marketing, and e-HRM.
We challenge conventional scholarly wisdom! Are you looking for a forward-thinking team-based environment to expand the borders of your home subject area and develop cross-disciplinary expertise? Join our team and strive to make a significant impact on science and society.
Responsibilities
You contribute to research, teaching, and knowledge valorization. You will
- carry out high-tech business research with a genuine interest in operating at the crossroads of OB, cross-cultural management, change management, and operations management;
- improve your home-based specific expertise and develop an interdisciplinary research line;
- co-build our research and teaching ecosystem (e.g., by acquiring external research funding and adopting challenge-based learning);
- (co-)teach and coordinate courses in our Bachelor and Master programs of International Business Administration and Industrial Engineering and Management, such as the course 'Cross-cultural Behaviour' in the 'International Management & Consulting' specialization track and our Honours programmes;
- guide students from these programmes in their graduation assignments;
- develop expertise in novel data driven research methods and work jointly with BMS lab (a lab that develops expertise in using industrial and behavioural research datasets and tools for the latest high-tech research); and
- co-supervise PhD students.