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

About Us

The Group for Sustainability and Technology (SusTec) within the Department of Management, Technology, and Economics at ETH Zurich is dedicated to understanding the interplay of policy, technological innovation, and organizational strategies aimed at achieving a decarbonized energy system and promoting a circular economy.

Project Overview

As the energy and transportation sectors undergo significant transformations in response to climate change, there is a pressing need for new tools to assist policymakers in balancing wide-ranging objectives with the impacts on communities. This initiative seeks to develop innovative methods that merge machine learning with energy system optimization to enhance policy design pertaining to electric vehicle (EV) charging and electricity systems. The work will investigate policies influencing EV adoption, charging infrastructure, and electricity pricing, while assessing both system-wide costs and CO2 emissions, as well as community-level improvements such as air quality.

Research Expectations

The research conducted is anticipated to be scientifically rigorous and relevant for policymakers and practitioners. Collaborative engagement with fellow researchers and key stakeholders is essential, and findings are expected to be published in reputable peer-reviewed journals and outreach platforms. There's also a component of mentorship involved, as the role includes supervising master’s students and supporting educational endeavors within the group.

Candidate Profile

Ideal candidates should possess:

• A Master's degree or equivalent in engineering, computer science, data science, or a closely related field.
• A substantial academic record showcasing excellence.
• Strong analytical skills with a passion for sustainability, energy, and public policy.
• An interest in current societal and political debates.
• The ability to work independently while managing multiple tasks and deadlines.
• Team collaboration skills with effective communication abilities.
• Experience in coding (e.g., proficiency in Python).
• Completed courses in optimization, machine learning, or related topics.
• Fluency in both spoken and written English.

Experience in energy or transportation modeling, prior research, or publications in related areas, as well as familiarity with the energy and transportation sectors, would be advantageous.

Work Environment

We offer a collaborative research atmosphere within a large, dynamic team at a world-renowned institution. The position facilitates frequent interaction with top researchers across a vibrant community dedicated to energy system research at ETH Zurich and beyond.

Program Details

This role is fully funded, engaging for the full term of the project (covering 2025/2026 to 2029/2030). The start date is negotiable, with a target to fill the position as soon as possible. The competitive annual salary aligns with ETH Zurich regulations, and the position is based in Zurich, Switzerland, with no options for remote work due to legal requirements.

Diversity Commitment

ETH Zurich champions an inclusive culture that values diversity and promotes equal opportunities. Our environment supports the rights and dignity of all staff and students, ensuring a fair and open space for growth and development.

Join Our Initiative

If this project piques your interest and you feel aligned with our values and mission, we invite you to consider the opportunity to contribute to our research journey while shaping innovative policies for a sustainable future.