Publisher
source

Eva Heinen

Just added

just-published

Postdoctoral Researcher in Shared Mobility ETH Zürich in Switzerland

Degree Level

Postdoc

Field of study

Urban Planning

Funding

Available

Country flag

Country

Switzerland

University

ETH Zürich

Social connections

How do Bangladeshi students apply for this?

Sign in for free to reveal details, requirements, and source links.

Where to contact

Official Email

Keywords

Urban Planning
Statistical Inference
Civil Engineering
Python Programming
Data Mining
Causal Inference
R Programming
Travel Behavior
Statistics
Shared Mobility
Tranport Planning

About this position

The Institute for Transport Planning and Systems at ETH Zürich is seeking a postdoctoral researcher to join the Transportation and Mobility Planning team. This externally funded position focuses on the analysis of shared mobility, including ride-sharing, e-scooters, and bicycle sharing. The research aims to understand the impacts of supply changes and urban transformations on ridership patterns, frequency, duration, and location, as well as differences between user segments such as tourists and inhabitants. The project involves analyzing existing GPS data and collecting new data through questionnaires.

Responsibilities include active participation in the research project, contributing to teaching and examinations, publishing research papers in high-impact journals, engaging with the research group, and supporting the acquisition of new projects. The role offers opportunities for professional development and societal impact, with ETH Zürich providing a supportive environment that values diversity, sustainability, and equality of opportunity.

Applicants must hold a PhD in a relevant field or possess equivalent research experience. Essential skills include expertise in GPS track analysis, strong data-handling abilities, proficiency in R (compulsory), and preferably Python and/or GIS. Statistical and causal inference knowledge is required, along with teamwork, problem-solving, self-organization, and excellent English communication skills. Desired qualifications include familiarity with travel behaviour data, urban mobility patterns, German language skills (at least B2), experience in data collection, and stakeholder engagement or policy drafting.

The position is available as soon as possible, with an initial contract duration of one year and potential extension based on funding and performance. ETH Zürich offers numerous benefits, including public transport season tickets, car sharing, sports facilities, childcare, and attractive pension plans. The university is renowned for its excellence in science and technology, fostering independent thinking and providing an inspiring environment for over 30,000 people from more than 120 countries.

Applications must be submitted online through the ETH Zürich portal. Required documents include a letter of motivation, CV with publications, contact details for at least two referees, and two key outputs (publications, code, or visualisations). Shortlisting will begin at the end of March. For further information, contact Prof. Dr. Eva Heinen at [email protected] (no applications via email).

Funding details

Available

What's required

Applicants must have a PhD degree in a related field of above-average quality or equivalent research experience. Required skills include experience analyzing GPS tracks, strong data-handling abilities, proficiency in R (compulsory), and preferably Python and/or GIS. Statistical and causal inference knowledge is essential. Candidates should demonstrate teamwork, problem-solving, self-organization, and responsibility. Excellent spoken and written English is required. Desired qualifications include familiarity with travel behaviour data or urban mobility patterns, good German language skills (at least B2), experience collecting own data (e.g., questionnaires, measurements), and experience developing networks with stakeholders or drafting policy recommendations.

How to apply

Submit your application online via the ETH Zürich application portal. Include a letter of motivation (max 2 A4), CV with publications, names and email addresses of at least two referees, and two key outputs (publications, code, or visualisations). Applications via email or postal services will not be considered. Shortlisting begins at the end of March.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors