The Chair of Transport Planning at the Institute for Transport Planning and Systems of ETH Zurich is hiring a
Researcher (PhD student) for the development of its agent-based model of traffic flow and travel demand
The chair is developing together with colleagues at TU Berlin and elsewhere a fast, parallel agent-based open source micro-simulation of travel demand and traffic flow. See It is used by around 50 academic and commercial groups worldwide. Successful applicant will focus on further development of the simulation framework with the focus on emerging on-demand mobility solutions (i.e. Urban Air Mobility, Automated Vehicles). Further focus will be on integration of different mobility solutions into an integrated system, their optimization, and evaluation of different policy measures towards a smart, sustainable and efficient transportation system in cities around the globe. The calibration of such complex models and the stability and robustness of their results will be a further focus.
You should have:(1) Good analytical skills; (2) Independence, with the ability to work in a team; (3) A relevant university degree at the Master-level (e.g. computer science, industrial engineering, operations research, physics, electrical engineering, spatial and transport planning, civil engineering, etc.); (4) Command of an object-oriented language is necessary (Java is recommended); (5) Good command of written and spoken English; (6) Basic knowledge of transport planning, or interest in transportation systems; (7) Knowledge of optimization techniques is a plus; (8) Familiarity with modern software development practices (Git, continuous integration, design patterns...) is a plus; (9) Working knowledge of statistics and data analysis.
We offer the chance of challenging and responsible work in an active team. This full time post is limited to six years. A further six years is possible. Doctoral work is possible and will be strongly supported.
We look forward to receiving your online application until July 1, 2019. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information
can be obtained from Prof. K.W. Axhausen, Mr. M. Balac, or Mrs. E. Burri, +41 44 633 31 05. See also