Assistant Professor Health Economics

Throughout the world, health care systems face challenges that can only be handled by (further) improving the efficiency of interventions, processes and organizations. This requires optimal use of existing health care resources as well as optimal implementation of new efficient technological innovations. We are building our team and searching for an ambitious team player who is able to strengthen our expertise in health economics/health technology assessment (HTA), and in operations research, and can further strengthen the link between these fields. The assistant professor will enforce the link between the health economics/HTA department (HTSR, Health Technology & Services Research) and the operations management department (IEBIS, Industrial Engineering and Business Information Systems). You will be working in an international environment and bring methodological expertise in health economics/HTA, and operations research/operations management, such as the use of quantitative models to support decision making at clinical and policy levels and to optimize health care processes. This latter requires knowledge of simulation modeling techniques, such as Markov models, Discrete Event Simulation, System Dynamics, and Agent-based Modeling, as well as knowledge of a variety of optimization algorithms. We particularly expect to develop cross-links with adjacent areas such as (health) systems engineering and ‘mixed modeling’ (combining decision making on individual, organizational, and societal level) to map the consequences of technology implementation on health service delivery. Application of (medical) informatics and statistics, to leverage big data, will provide the evidence to populate such models and will provide key health care insights. By interacting with experts from various UT departments you will open a new field of research combining evaluation of new health technology with optimization of its intended use in clinical practice. Given the interests of the departments involved, we expect you to support our work in the field of imaging and diagnostics in general and modeling of personalized medicine strategies in particular.