PhD Student in Transportation and Energy: The Group for Sustainability and Technology (SusTec) at ETH Zurich invites applications for a fully funded PhD position focused on data-driven policy optimization for transportation and energy systems, contributing to sustainable solutions in the fight against climate change.
PhD Student in Data-Driven Policy Optimization for Transportation and Energy
Designation
PhD Student in Data-Driven Policy Optimization for Transportation and Energy (100%)
Research Area
- Policy design for clean energy and transportation systems
- Integration of machine learning with energy system optimization
- Analysis of electric vehicle (EV) adoption and charging infrastructure
Location
Zurich, Switzerland
Eligibility/Qualification
- Hold an M.Sc. or equivalent degree in engineering, computer science, data science, or a closely related discipline
- Excellent academic record
- Strong analytical skills
- Passionate about sustainability, energy, and public policy
- Experience with coding (e.g., Python) and coursework in optimization or machine learning
- Fluent in spoken and written English
Preferred:
- Experience in energy or transportation modeling
- Prior scientific publications in related areas
Job Description
The PhD student will:
- Conduct rigorous research relevant to policymakers
- Collaborate with a dynamic team and interact with stakeholders
- Publish findings in high-impact, peer-reviewed journals
- Supervise master’s students and support teaching activities
How to Apply
Interested candidates should submit the following documents through the online application portal:
- CV with contact details of two referees
- Letter of motivation detailing research interests and reasons for applying
- BSc and MSc transcripts
- Example of written work (e.g., master’s thesis)
Note: Applications via email or postal services will not be considered.
Last Date to Apply
Applications will be reviewed on a rolling basis starting late August 2025, with a final submission deadline of September 12, 2025. Early applications are encouraged as the position may be filled before the deadline.
