Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
The Ecological Systems Design Group at the Institute of Environmental Engineering is an internationally leading research group in the field of modeling, analyzing and improving the resource efficiency and environmental performance of products and processes, new technologies, and consumption patterns from a systems perspective. We offer a friendly and professional working environment, and are inviting applications for the Ph.D. position further described below.
This Ph.D. / Postdoc position is part of the new National Centre of Competence in Research “Sustainable Chemical Processes through Catalysis” funded by the Swiss National Science Foundation. The main goal of the project is to develop novel predictive life cycle assessment (pre-LCA) approaches for basic and fine chemicals with varied complexity in molecular structures. A particular focus will be laid on developing new approaches to estimating the environmental impacts of chemicals as a function of their structures. It will look into integration of prospective screening LCA approaches and novel risk assessment tools in order to enable early identification of both environmental impact hotspots and safety concerns.
The work will be carried out in an interdisciplinary team at the Ecological Systems Design Group, in close collaboration with Prof. Dr. Gonzallo Guillén Gosálbez (ETH Zurich). You will work in a team of researchers in the same project. An integral part of your work is publishing your results in peer-reviewed journals and presenting them at international conferences.
Your qualifications should include a corresponding level university degree in chemical engineering, chemistry, computer sciences, environmental engineering, environmental sciences or similar studies with excellent grades. Interest in modeling and programming is a must. A background in life cycle assessment and/or chemical risk assessment would be highly desirable. Knowledge and experience in cheminformatics, big data, and machine learning would be an asset. Your employment will be contracted according to standard regulations at ETH (funding secured for 4 years in the case of a PhD position and 3 years in the case of a Postdoc position). The project will start in October 2020 or upon mutual agreement. You are expected to contribute to the teaching and research activity of the chair up to a maximum of 20% of your working time.
We look forward to receiving your online application including a letter of motivation, CV, diplomas, and contact details of two referees. We will start interviewing candidates as soon as possible. Applications will be accepted until the position is filled. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
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