6 Assistent/Associate Professors in High-Tech Business

Updated: 2 months ago
Deadline: 01 Dec 2019

The High-tech Business and Entrepreneurship (HBE) cluster at the Faculty of Behavioural, Management and Social Sciences is a growing research group that holds a leading position at the interfaces of business, technology and the social sciences. The HBE cluster conducts cross-disciplinary business research, supporting organizations in innovative and entrepreneurial management and decision-making.

We attract talent from all over the world from different disciplines (computer science, operations research, mathematics, engineering, business & management, other social sciences). We perform ground-breaking research combining various high-tech business domains, such as smart-industry, supply chain management, transportation and logistics management, innovation management, technology based entrepreneurship, purchasing and supply management, corporate finance, HRM, leadership and change management. Are you looking for an ambitious environment to expand the borders of your home discipline and develop cross-disciplinary research and teaching? We challenge conventional scholarly wisdom! Join our team and strive to have a significant and sustainable impact on science and society.

You contribute to research, teaching, and knowledge valorisation. You will be responsible for:

  • carrying out ambitious high-tech business research, with a genuine interest in operating at crossroads of different disciplines;
  • growing your home-based specific expertise and develop an interdisciplinary research line linked to various research themes within the cluster;
  • building our research and teaching ecosystem (e.g., by acquiring external research funding);
  • (co-)teaching and coordinating courses in our Bachelor, Master, and Executive programs of (International) Business Administration, Industrial Engineering & Management, Business & IT, and Health Sciences;
  • supervising students from these programs in their graduation assignment;
  • developing expertise in novel data driven research methods (data science, business analytics, machine learning, simulation, virtual reality, etc.) in collaboration with BMS lab (a lab from our faculty that supports researchers with facilities and equipment);
  • contributing towards the supervision of PhD students;
  • conducting research in collaboration with industrial and societal partners to realise impact.

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