Short description of current projects

The department Industrial Engineering and Business Information Systems (IEBIS) is part of the School of Management and Governance within the University of Twente. We closely collaborate with industry, knowledge institutes and government agencies. We focus on innovative research projects with substantial impact on the industry while significantly contributing to the international scientific knowledge base. The focus of our research is on the logistics, healthcare and services sectors. The department of Stochastic Operations Research (SOR) is part of the faculty of Electrical Engineering, Mathematics and Computer Science. The mission of SOR is to conduct mathematical education and research of internationally high standards in the areas of stochastic processes and mathematics of operations research, to contribute to the development of mathematics in a multidisciplinary engineering environment, and to contribute to a better understanding and functioning of our increasingly complex society. Research is embedded in the research institute CTIT.

Job specification

This research position is part of the Dynafloat project funded by the Top consortium for science and innovation (TKI) and the Netherlands organisation for scientific research (NWO), call for proposal on sustainable logistics 2014. Dynafloat focuses on logistics and mobility, and seeks to reconcile economic, social and ecological objectives. That is: transport and logistics should be maximally efficient, with minimum delay and limited adverse impact on the environment (carbon and particle emission, noise). In particular, we focus on the use of massively available planning and floating car data in addition to data from road side equipment, to enable dynamic control of both freight and passenger flows. The position deals with developing brand new analytical models for the dynamic traffic control (at the tactical as well as operational level) through road infrastructures and based on the three sorts of input data, mentioned before. The models will be rooted in a queueing-theoretical approach combined with methodologies from stochastic operations research. In addition to the model development and optimization, we will investigate the impact of reserving specific corridors for freight traffic in urban areas, e.g., reserving specific lanes or adding specific stretches in the network to be used exclusively by freight trucks or shared with public transport. The companies that you will get in touch with in the project are ARS Traffic & Transport Technology, De Verkeersonderneming Rotterdam, Stichting Sensor City Assen, and Infostructure. As a researcher, you will closely collaborate with these industrial partners as well as with other scientific institutes in the Netherlands.

Your Profile

You have at least a master’s degree in a relevant field, such as industrial engineering, applied mathematics, or econometrics. You are able to develop stochastic operations research models for dynamic traffic control. Also, you can embed these models in prototype decisions support tools to enable testing and implementation in practice (e.g. based on C/C++ or Matlab). You are able to work both independently as well as in a project team, and you have good communicative skills. You are fluent in English and also preferably Dutch.

Our offer

We offer a very challenging position in an inspiring environment. You will have an employment contract for the duration of 4 years and can participate in all employee benefits the UT offers. The gross monthly salary starts with € 2083 ,- in the first year and increases to € 2664,- in the fourth year of your employment. The salary is supplemented with a holiday allowance of 8% and an end-of year bonus of 8.3%. A high-quality training program is part of the agreement. You and your supervisor will make up a plan for the additional education and supervising that you specifically need. The research has to result in a thesis at the end of the employment period. International applicants moving to the Netherlands are possible eligible to a tax advantage policy known as the 30% ruling depending on background. The University of Twente offers attractive employment conditions, e.g., moving costs.

For more information you can contact A. Al Hanbali, email:, phone: +31-053-4894033, prof. dr. R.J. Boucherie email:, phone: +31-053-489 3432 or prof. dr. W.H.M. Zijm, email:, phone: +31-053-489 3524.