Postdoc (80-100%) to develop an ontology and knowledge graph for a streamlined LCA procedure supporting researchers in evaluating novel atmospheric CO2 removal and conversion options
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain
Define an ontology and knowledge graph describing the key steps of a streamlined LCA procedureTest the applicability of the streamlined LCA procedure for specific case studies Finalise and publish the streamlined LCA procedure Support good LCA practices by all researchers who are not experts in the LCA method Your profile
Define an ontology and knowledge graph describing the key steps of a streamlined LCA procedureTest the applicability of the streamlined LCA procedure for specific case studies Finalise and publish the streamlined LCA procedure Support good LCA practices by all researchers who are not experts in the LCA method Your profile
- PhD in environmental/natural sciences or engineering or data science
- Experience with using the LCA method or other assessment methods in the field of industrial ecology
- Good management skills and outgoing personality
- Experience in scientific writing and publishing
- Excellent communication skills and fluency in English (both written and oral)
- Basic fluency in German and/or French is a plus
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