The Chair of Transportation and Mobility Planning, led by Professor Dr. Eva Heinen within the Institute for Transport Planning and Systems of the Department of Civil, Environmental and Geomatic Engineering (D-BAUG) is looking for a PhD candidate.

This position focuses on the development of revealed and stated preference surveys to model passenger response to the effects on train service of planned railway maintenance disruptions in Switzerland.

Railway infrastructure provides substantial capacity for the movement of people and goods, yet this capacity is reduced or suspended whenever there are interventions. Interventions, which range from condition monitoring through minor and major maintenance to renewal and expansion, require time, money, machines, and personnel, and they partially block access to the track. Consequently, traffic and timetables must be modified, and passengers are affected. Decisions on when, where, and how such interventions should be grouped or separated, and on how the associated timetables should be planned, must be taken well ahead of execution and under considerable uncertainty regarding maintenance costs, timetable feasibility, and passenger impact.

In terms of impact on passenger demand, very little is known about the range of traveller’s response to planned maintenance disruptions. These disruptions can have a wide variety of effects for passengers such as increased travel time, additional transfers, reduced train frequency, increased likelihood of delays and crowdedness, replacements services (e.g., bus). These effects, in turn, can affect the decision to travel (cancel travel, work from home), the choice of alternative routes, the travel mode and even destination choices.

To assess how different maintenance scenarios affect passenger response requires considering individual heterogeneity, time constraints, mode substitution, trip purpose, seasonality, etc. Furthermore, there is currently no known approach to estimate long-term effects on demand of planned service disruptions of railway networks. Long term effects on user dissatisfaction can include loss of reputation and trust in the railway operator and potentially affect political and social support for railway funding.

The contribution of our research group to this project is to develop revealed and stated preference surveys and estimate models of short and long-term passenger response considering various operational maintenance scenarios. The outputs of those models will be used as inputs to the other work packages of the project to improve the estimation of the inherent uncertainty related to railway maintenance interventions and, ultimately, guide decision-making.

As contribution to this project, the doctoral candidate will aim to:

• Review the literature on the impact of railway disruptions on passenger response (short and long term)
• Develop (longitudinal) revealed preference surveys and stated preference experiments
• Model stated and observed passenger response and obtain elasticities for the various effects of maintenance disruption on rail service quality
• Develop a methodology to assess the long-term impacts of experienced disruptions on trust and reputation of the railway operator and concurrent effect on public support for railway investment
• Regularly interact with the other research groups to align research outcomes

In addition to contributing to this research project, we are looking for a candidate who can:

• Participate in (ongoing) research projects and support the acquisition of new research projects
• Contribute to teaching and examinations
• Successfully author research papers in high-impact research journals and will successfully author and defend a doctoral dissertation on the main research project

• MSc degree in the fields of transportation, civil engineering, computer science, spatial planning, geography, geoinformation, psychology, economics, or an equivalent qualification
• You must have a Msc certificate before you start
• Experience with discrete choice modelling and/or survey design
• Proficiency in written and spoken English is required, and knowledge of German is regarded as an asset given the collaboration with Swiss project partners
• Knowledge of data analysis and/or programming and a willingness to familiarize yourself further (e.g., R, Pyton, GIS software, Stata, etc.)
• Enjoyment of scientific work
• Ability to self-motivate, self-organize and take personal responsibility in the fulfilment of tasks
• Good communication skills, ability to work in a team and good problem-solving skills

• Your career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society.
• We are actively committed to a sustainable and climate-neutral university.
• You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits.

We look forward to receiving your online application by the end of August with the following documents:

• A (short) letter of motivation (max 2 A4), the goal of your letter of motivation should be to help us gauge your interest and motivation in pursuing a PhD in our group, you should elaborate on your ideas of potential research in the project, we strongly advice against using AI to write this
• CV
• The names and email addresses of people who could provide a reference (between two and five individuals), no letters need to be submitted at this moment and references will only be sought after we complete our interviews
• One or two outputs, this can be a journal or conference paper, your Msc dissertation, your Bsc dissertation, a coursework, or anything else you think shows a skill relevant for the position
• An overview of all your grades
• Please clearly indicate your potential starting date 
• If you do not have a MSc yet, please also indicate the date you expect to have a proof of obtaining your MSc

Further information about the Institute can be found on our Website. Questions regarding the position should be directed to Prof. Dr. Eva Heinen [email protected] (no applications). We plan to start shortlisting by the end of August 2026.

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

This position will be available, with an ideal starting date in January or early February 2027. The planned duration of the initial contract is 18 months. An aptitude colloquium will take place at the end of the first year and determine the further continuation. The total doctoral project is expected to be finished in 4 years in total.Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.