PhD position in Physics-informed Traffic Management in Intelligent Transportation Systems

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PhD position in Physics-informed Traffic Management in Intelligent

Transportation Systems

100%, Zurich, fixed-term

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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.

Project background

Modeling and simulation are powerful tools for developing and validating 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.

Job description

The motivation of the proposed project is to explore physics-informed solutions, combining established knowledge from modeling approaches with the capability of machine learning to capture complex patterns observed in real- world cases. The goal is the development of robust traffic management strategies for highway (e.g. ramp control) or urban (e.g. perimeter control) networks focusing on minimizing the time that users spend in the network and their energy consumption while homogenizing traffic flows. The role of connected and automated vehicles as mobile sensors and actuators within congested environments will be explored. Modeling and simulation will be used as tools for assessment.

You are encouraged to conduct research in the following areas:

Traffic management and control

Physics-informed machine learning

Driver and traffic dynamics

Traffic modeling simulation

Your profile

You ideally have a Master's Degree in engineering, applied 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:

Strong background in mathematics, optimization and/or control sciences

Interest in traffic engineering

Hands-on experience with programming on machine learning and/or data analysis

Experience in traffic simulation and modeling

Team working and communication skills.

Knowledge of the German language is a plus

You are expected to:

Publish in top journals and scientific conferences

Participate in research proposal preparation

Guide/follow semester projects at BSc/MSc level

Teach within the SVT course program

Contribute to the operation of the group and the Institute.

You enjoy working in an interactive international environment with other doctoral students, post-docs, and senior scientists, referring continuously to practical problems and solutions. This position will be available as of September 2023 or upon agreement.

Your workplace Your workplace We offer

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.

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We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

Please note that we exclusively accept applications submitted through our online application portal.

Deadline for applications: 19 June 2023, 11:59 pm.

We look forward to receiving your online application with the following documents:

A short motivation letter describing how your experience and motivation fits the profile sketched in this call

A full CV

Copies of diploma/academic transcripts

Contact details of two referees

For further questions, please contact Dr. Michail Makridis, at [email protected] (no applications). More information about the Traffic Engineering group is available on our website.

About ETH Zürich

ETH Zurich is one of the world's leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

Curious? So are we.

Please note that we exclusively accept applications submitted through our online application portal.

Deadline for applications: 19 June 2023, 11:59 pm.

We look forward to receiving your online application with the following documents:

A short motivation letter describing how your experience and motivation fits the profile sketched in this call

A full CV

Copies of diploma/academic transcripts

Contact details of two referees

For further questions, please contact Dr. Michail Makridis, at [email protected] (no applications). More information about the Traffic Engineering group is available on our website.

Apply online now

About ETH Zürich

ETH Zurich is one of the world's leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

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