Post-Doctoral Researcher in environmental systems monitoring

WorkplaceDübendorf, Zurich region, Switzerland


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 Engineering (ENG) has a vacancy for a

The project Anomaly detection for adaptive sensor network maintenance is scheduled to start as soon as possible and is linked to on-going monitoring of both engineered and natural systems at Eawag. These systems are used for research in wastewater collection and treatment, resource recovery, drinking water distribution, and biodiversity and evolution in natural ecosystems. The research groups using these systems have now entered the era of big data in the sense that they collect data in volumes that overreach the current capacity to critically assess and maintain the desired data quality. In this project, a variety of promising methods for automated data validation and anomaly detection will be tested and benchmarked against each other.

In this position
, you will benchmark several methods for anomaly detection and data validation. The current selection of tools include a variety of machine learning methods such as principal component analysis, neural networks, Gaussian processes, and support vector machines. All adaptations will be based on existing toolboxes, such as scikit-learn. Your role is therefore to adapt these existing software tools for automated identification and benchmarking with a wide range of data sets collected from a diverse set of natural and engineered systems studied at Eawag. In addition, you will prepare an implementation of the most successful methods for online deployment.

The successful candidate
has experience in the application of model-based techniques for data analysis and process monitoring and capacity to program in Python or a similar high-level programming language.

Furthermore, the knowledge of natural and engineered environmental systems and experience in scientific communication, including scientific publishing and oral presentations are criteria which are valuable in the context of the project as well. Experience with data collection in laboratory, pilot-scale, or full-scale settings is welcome.

We are looking for a candidate
with good oral and writing skills in English, readiness to work in both simulation and laboratory environments, and willingness to work in an interdisciplinary and international team of environmental scientists and engineers are imperative.

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 ?" target="_blank" rel="nofollow"> and ?" target="_blank" rel="nofollow"> .

The review of applications will start on 1 May 2018 and will continue until the position is filled. Your application should include an explanation of your interest to work in the project, a description of your experiences related to the above criteria, personal publications relevant to the project subject, a Curriculum Vitae, copies of diplomas, other relevant certificates and names and contact details of two referees.

For further information, please contact Dr Kris Villez, Email kris.villez [at] eawag[.]ch.

We look forward to receive your application.
Please send it through this webpage, any other way of applying will not be considered. A click on the button below will take you directly to the application form.

In your application, please refer to
and reference  JobID 39306.

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