Assistant Professor in Artificial Intelligence for Decision Making

As a successful applicant, you will work on the interface between Artificial Intelligence and decision-making methods. Examples of research directions include but are not limited to: using machine learning (such as predictive modelling and reinforcement learning) to find better solutions to optimization problems, developing decision support tools that combine data-driven models with knowledge-based models. With an embedding of the position in the school of Industrial Engineering, special attention will be paid to applications of the methods and tools in domains such as logistics, transportation, service industries, high-tech manufacturing, and healthcare. As an assistant professor, you will initiate, perform, and supervise high-quality research in the area of Information Systems. Depending on your background and expertise, your research will focus on the specific areas of Business Process Management, Business Intelligence, Artificial Intelligence, Business Engineering, Data-Driven Decision Making, or a related field.