PhD Position in Urban Building Energy Modeling for Socio-Ecological Transformation
vor 2 Wochen
Eidgenossische Technische Hochschule Zürich, ETHZ
Published 12 March 2025
Workplace Zurich, Zurich region, Switzerland
Category Environment
Position Junior Researcher / PhD Position
PhD Position in Urban Building Energy Modeling for Socio-Ecological Transformation
100%, Zurich, fixed-term
The Architecture and Building Systems (A/S) research group at ETH Zurich, headed by Prof. Arno Schlueter, investigates energy systems in the context of climate and human comfort at the building and urban scale. One of the group's pillars is research and application of Urban Building Energy Modelling (UBEM) to generate knowledge about cities and neighbourhoods as interconnected systems in order to support sustainable urban development and the well-being of their inhabitants.
Project background
This dissertation is part of the National Research Programme 81 (NRP 81 "Building Culture") of the Swiss National Science Foundation SNSF within the project "Beyond Replacement Construction: Implementing the Socio-Ecological Transformation of the Swiss Built Environment". In collaboration with the group of Prof. David Kaufmann, SPUR / DBAUG, the project focuses on the socio-ecological transformation of urban buildings in Swiss cities through soft densification (e.g. vertical extensions, infill development, reuse) as an alternative to demolition and total renovation. The project addresses current challenges of conventional densification strategies in terms of environmental sustainability and socio-environmental challenges resulting in displacement and exclusion. Start date: June 2025 or by arrangement, duration 4 years.
Job description
As a PhD candidate, you will carry out independent and collaborative research, including literature reviews, data collection and analysis, leading to novel contributions to the field. You will be responsible for writing and publishing academic papers, presenting findings at conferences and managing your dissertation. During the first two years of your PhD, you will also assist the Chair in teaching. In addition, you will support knowledge transfer by engaging with the public, industry and policy experts, contributing to open source modelling tools and assisting with project coordination within the research team.
For the project, your work will center around the following tasks:
- Urban data: Collecting diverse and multi-modal data to create a comprehensive urban dataset.
- Establishing/ extending Urban Building Energy Models (UBEM) using City Energy Analyst (CEA) to compute comprehensive environmental metrics for selected vulnerable transformation areas (VTAs).
- Soft-Densification Archetypes: Defining and parameterizing densification strategies (e.g., vertical extensions, retrofitting, re-programming), integrating stakeholder insights, literature reviews, and real-world data, applying/developing new data-driven methods
- Identification of Transformable Sites: Using UBEM to pinpoint optimal locations for densification based on spatial, architectural, and socio-economic assessment
- Implementation and Environmental Assessment: Applying densification strategies to selected VTAs, analyzing environmental metrics and using generative techniques to create visualizations to communicate findings to a broader public
- Publications and Knowledge Transfer: Publishing findings in peer-reviewed journal publications and conference proceeedings
Profile
We are seeking a highly motivated and self-organized PhD candidate to join our research team in Zürich. The ideal candidate should have:
- Master's degree in Integrated Building Systems (MIBS), architecture, urban planning, civil engineering, environmental science or a related field.
- Strong computational skills with experience in working with/developing computational models or urban data analytics.
- Knowledge of building energy modelling and/or urban building energy modelling (preferably with experience in City Energy Analyst or similar tools)
- Initial experience with machine learning, clustering methods or generative AI (preferred but not required)
- Willingness and ability to collaborate with researchers from different backgrounds, stakeholders and the general public
- Programming skills in Python (preferred but not required)
- Excellent communication skills in written and spoken English, German is a plus
- High degree of personal responsibility and self-organisation
Workplace
We offer
Describe here what particularly distinguishes the work in your department/ group e.g.:
- Training opportunities
- Perspectives for career development
- Support programmes (e.g. mentoring) and networks
- Your (team) culture and team composition
- Working environment and employment conditions
- Your commitment to diversity (e.g. flexible working hours, possibility for part-time work, home office)
Working, teaching and research at ETH Zurich
We value diversity
In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.
We look forward to receiving your complete online application, which should include:
- Motivation Letter: Outline your interest in the position and relevant qualifications.
- Curriculum Vitae (CV): Provide a detailed overview of your education, experience, and skills.
- Academic Transcripts (Master's degree and undergraduate studies)
- References: Provide contact information for 1-3 references or include reference letters.
Please note that applications must be submitted exclusively through our online application portal; submissions via email or postal services will not be considered. Applications are accepted until April 15, 2025. For more information about the position and our research group, please visit our website .
Apply online now
ETH Zurich is one of the world's leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
More information
In your application, please refer to myScience.ch and referenceJobID66843.
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