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The Traffic Engineering group (SVT) of the Institute for Transport Planning and Systems (IVT) at ETH Zurich intends to develop scalable optimization systems for operational support in large-scale road networks. Modeling and simulation are powerful tools for the development and validation of traffic management and control strategies in urban and freeway environments. At the same time, data-driven methodologies and machine learning offer new opportunities for optimal traffic management strategies but often they lack physical intuition, which creates obstacles towards large-scale deployment and public acceptability.
The average trip length in Swiss cities is under 14km, with around 60% of trips below 6km. Despite the potential for healthier, more sustainable alternatives, nearly half of the total distance traveled is by car (BFS & ARE 2023). Bicycles play a key role in recent initiatives (e.g., EBike-City, ETH Zurich) aimed at building sustainable, vibrant future cities. However, bicycles are still seen by transportation experts and users as a complementary mode to cars. There is limited understanding of how mass cycling impacts traffic efficiency and transport operations due to several reasons:
This project will use experimental observations with large number of cyclists in order to understand and model their moving behavior (lateral and longitudinal), their interactions (conflicts and cooperations) and their traffic flow characteristics (capacity, safety, efficiency). Within the project a Model Suite will be developed with an API that can communicate with major simulation softwared such as SUMO, Aimsun and Vissim, to enable large scale mass cycling simulations. Extensive simulations will be conducted in order to understand multimodal traffic dynamics and propose novel solution toward future sustainable cities.
The doctoral researcher is expected to conduct research in the following areas:
The applicant is expected to:
You ideally have a Master’s Degree in engineering, mathematics, computer science, or related fields. You are highly motivated, and determined, and you have excellent communication and writing skills (proficient spoken and written English is required).
Moreover, the following skills are expected of a promising candidate:
You enjoy working in an interactive international environment with other doctoral students, post-docs, and senior scientists, referring continuously to practical problems and solutions. You have a keen interest in traffic engineering. This position will be available as of March 2025 or upon agreement.
ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity, and attractive offers and benefits.
Please note that we exclusively accept applications submitted through our online application portal.
We look forward to receiving your online application with the following documents:
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 about the SVT group and the IVT can be found on our website. Questions regarding the position should be directed to Dr. Anastasios Kouvelas (email: kouvelas@ethz.ch) or Dr. Michail Makridis (email: mmakridis@ethz.ch) (no applications).
Deadline for applications: 14 February 2025 (23:59 CET time).
ETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.
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