Tenure Track Group Leader in Computational Sciences EAWAG, Department of Systems Analysis

Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems.

The Department of Systems Analysis, Integrated Assessment and Modelling (Siam) has an open position for a

Tenure Track Group Leader in Computational Sciences with Application to Water Research

to conduct research in high performance computation in water research with a focus on stochastic modelling, pattern identification and statistical inference with hydrological and ecological models and data.

Emphasis will have to be on the development and application of methods to improve our understanding of complex hydrological, ecological and engineered systems of relevance to Eawag. Tenure requirements will be to develop a high scientific profile as well as to contribute significantly to collaborative Eawag projects.
 
Requirements  

The successful candidate should have:

  • a PhD degree in computational science, physics, mathematics, or statistics

  • experience in applying stochastic modelling or data mining techniques to large

    data sets

  • good knowledge of numerical mathematical techniques

  • strong implementation skills, in particular regarding high performance computation

  • strong interest in collaboration with scientists from research fields relevant to Eawag

  • communication and social interaction skills to surmount “interdisciplinary language barriers” to become a constructive collaborator in projects with natural scientists, engineers, and social scientists

The candidate’s application must include:

  • a brief letter of application that includes the motivation of the application for this position and a description of his or her experience in relevant fields of computational sciences

  • a curriculum vitae including a list of publications

  • academic transcripts/record

  • names and contact information for at least two academic references
 
We offer  

Eawag offers a unique research and working environment and is committed to promoting equal opportunities for women and men and to support the compatibility of family and work. Applications from women are especially welcome. For more information about Eawag and our work conditions please consult www.eawag.ch/en and (www.eawag.ch/en/aboutus/working/employment/).

For information, about the department please consultwww.eawag.ch/en/department/siam/ and for further information about the position, please contact Prof. Dr Peter Reichert (reichert [a] eawag.ch).
 
Duration   Temporäre Anstellung
 
Workload   100%
 
Address   We look forward to receiving your application. Please submit your application via the Eawag Jobs & Career webpage, any other way of applying will not be considered. The link below will take you directly to the application form.
 
Web   www.eawag.ch/en/


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