Empa - the place where innovation starts
Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society.
The Urban Energy Systems Laboratory
at Empa develops models and concepts for innovative building and decentralized energy system technologies based on renewable energy, including prototypes and demonstration plants.
Together, we are exploring digital innovation such as LiDAR scanning tools, Geographic Information System (GIS), satellite imaging, and Google data to feed the creation of platforms for material and resource passports. This will enable to evaluate at an urban scale which buildings will be demolished or retrofitted and could become material mines in the future. In order to create a decision-making tool that helps with the optimal energy transformations and material flows within a city, we analyse trade-offs simultaneously. To strengthen our scientific team, we are looking for a
PhD student in data for circular buildings
You will work on developing a computational design method for direct feedback on both embodied and operational impacts of design-decisions concerning the reuse of building materials. Combining tools from computer science and environmental architecture, you will look at optimization methods for finding the perfect fit for waste materials in an urban context, in order to lower waste generation, greenhouse gas emissions, and resource depletion. To do so, you will need to collaborate closely with industry in order to assess the condition of existing building materials using digital, non-destructive assessment tools. You will publish in scientific journals and conferences and present at public events for the general public.
We are seeking
a highly motivated and dedicated candidate with a degree in civil and environmental engineering, architecture, computer science or similar. Candidates should have profound and interdisciplinary knowledge in energy, environmental impact, design optimization, and building technology. Programming experience in Python or similar lan-guages are preferred. The candidate should be interested to work closely with industry and research partners in the construction sector. Candidates should have excellent written and spoken language skills in English (and ideally also German).
We are offering a multifaceted and challenging position in a modern research environment with excellent infrastructure. You will also be connected to different labs at Empa and ETH Zurich, in order to carry out highly interdisciplinary work.