Postdoc in data for circular buildings

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100%, Zurich, fixed-term

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 Postdoc in data for circular buildings.

Job description

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 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.

Your profile

We are seeking a highly motivated and dedicated candidate with a PhD in civil and environmental engineering, architecture, or similar. Candidates should have profound and interdisciplinary knowledge in energy, environmental impact, data analysis and building technology, and experience with GIS. Experience with mathematical optimization and machine learning, as well as programming experience in Python or similar languages are preferred. The candidate should be interested to work closely with industry and research partners in the construction sector. Experience with the development, acquisition and management of research projects is a plus. Candidates should have excellent written and spoken language skills in English (and ideally also German).