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Ph.D. / Postdoc Position on Predictive Life Cycle Assessment for New Chemicals

    Price : Free
    Date : July 26, 2020
    Location : ETH Zurich

    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.

    Project background

    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.

    Job description

    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 profile

    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 August 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.

    ETH Zurich

    ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.


    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.

    For further information about the Ecological Systems Design Group, please visit our website Questions regarding the position should be directed to Dr. Zhanyun Wang, [email protected] or Prof. Stefanie Hellweg, [email protected] (no applications).



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