PhD student in data for circular buildings in Dübendorf

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 (obtaining preferably before September 2022) 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 languages 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).