PhD Student in Data-Driven Policy Optimization for Transportation and Energy / PhD Studentess in Data-Driven Policy Optimization for Transportation and Energy

PhD Student in Data-Driven Policy Optimization for Transportation and Energy

100%, Zurich, fixed-term

The Group for Sustainability and Technology (SusTec) within the Department of Management, Technology, and Economics at ETH Zurich investigates the role of policy, technological innovation, and strategic initiatives in the journey towards a decarbonized energy system and a circular economy.

To expand our research on designing policies for a clean energy-transportation system, we are seeking a:

PhD Student in Data-Driven Policy Optimization for Transportation and Energy (100%)

Project Background

Our energy and transportation systems are undergoing a rapid transformation in the fight against climate change. Policymakers require innovative tools to reconcile the overarching goals of this transition with the intricate impacts on communities.

This project aims to provide new tools and insights for the optimal design of policies impacting electric vehicle (EV) charging and the electricity system. The PhD student will develop pioneering methods that combine machine learning with energy system optimization to facilitate effective policy design.

The analysis will encompass policies related to EV adoption, charging infrastructure, and electricity pricing, considering both the systemic impacts on costs and CO2 emissions, as well as community-level benefits like improvements in air quality.

Job Description

We expect your research to be scientifically rigorous and relevant to policymakers and managers. You will collaborate closely with team members and engage with policymakers and other stakeholders. As a key part of your work, you will publish your findings in high-impact peer-reviewed journals and outreach outlets. Additionally, you will supervise master's students and contribute to the group's teaching efforts.

Profile

The ideal candidate should:

• Hold an M.Sc. or equivalent degree in engineering, computer science, data science, or a closely related discipline
• Exhibit an excellent academic record
• Demonstrate strong analytical skills
• Have a passion for sustainability, energy, and public policy
• Be engaged in current political and societal discussions
• Work independently and manage multiple tasks and deadlines
• Be a team player with strong communication skills
• Possess coding experience (e.g., with Python)
• Have completed courses in optimization, machine learning, or related subjects
• Be fluent in spoken and written English

Not required, but a plus to:

• Have experience with energy or transportation modeling or research
• Possess work experience in a related area
• Have prior scientific publications in a relevant field
• Be knowledgeable about the energy and/or transportation sectors and their transitions

We Offer

We provide a positive research environment within a large, dynamic team at a globally recognized academic institution. In our group, you will benefit from regular interactions with leading researchers from a vibrant community of energy system research at ETH Zurich and beyond.

Your day-to-day supervisor will be Dr. Siobhan Powell, with Prof. Volker Hoffmann leading the research group.

This PhD position is fully funded. You will be employed as a full-time researcher for the entire duration of the project (2025/2026 to 2029/2030). The starting date is negotiable, but we aim to fill this position as soon as possible (late 2025 - early 2026). The annual salary is competitive (as per ETH Zurich regulations). The position is based in Zurich, Switzerland. Remote work from outside of Switzerland is not possible due to legal constraints.

We Value Diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equal opportunities, value diversity, and cultivate an environment that respects the rights and dignity of all our staff and students. Visit our Equal Opportunities and Diversity website to learn how we foster a fair atmosphere that allows everyone to thrive and grow.

Curious? So Are We.

We invite you to apply online using the form below. Please include the following documents:

• Your CV, including contact details for two referees
• A letter of motivation detailing your research interests and reasons for pursuing this PhD project
• Your BSc and MSc transcripts
• An example of your written work (e.g., your master's thesis)

Only applications matching the job profile will be considered. For further information, visit our website or contact Dr. Siobhan Powell (spowell@ethz.ch, please no email applications).

About ETH Zurich

ETH Zurich is one of the world’s leading universities specializing in science and technology. We are renowned for our excellent education, cutting-edge fundamental research, and our commitment to transferring knowledge directly to society. Over 30,000 individuals from more than 120 countries choose ETH Zurich as their home, promoting independent thinking and inspiring excellence. Located in the heart of Europe, we collaborate globally to develop solutions for today's and tomorrow's challenges.