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 Environmental Social Sciences (ESS) has a vacancy for a
Student Assistant 25% - 60%,
April - June or July 2023
The research group Decision Analysis
is looking for a student assistant. We are currently analyzing literature about environmental decision projects that use Multi-Criteria Decision Analysis (MCDA). This work is remunerated on an hourly basis, and there is some flexibility to adapt working hours and workload. Responsibilities
You will be supporting general work of the decision analysis group, and specifically support a literature review about environmental decisions using MCDA. You will be working together with another, experienced student. Tasks:
- Data entry: summary reading, analysis, and coding of scientific articles according to classification rules
- Data entry in Excel according to the coding (by hand and using Python scripts)
- Data processing: simple statistical analysis and data visualization (Excel, R, and/or Python)
- Writing internal reports of the results
- Possibly, general administrative support (e.g., writing protocol, preparing other material)
The project is supervised by PD Judit Lienert (group leader). Your profile
The prospective candidate for this position is a bachelor or master student in a Social Science discipline or in Environmental Sciences. Other disciplines and a Master degree will be considered only if the skill set matches. We hope for a person with some experience in document analyses or literature research. The person should be curious, fast, and flexible in order to be able to categorize main insights from the scientific papers in a new field (we will support you in learning this). The position requires experience with Excel and basic statistical skills, and if possible experience with data analysis and visualization in R or Python. We expect a reliable and very exact working style. Fluent oral and written English is required; experience with decision analysis is a plus.
a modern employer and offers an excellent working environment where staff can con-tribute their strengths, experience, and ways of thinking. We promote gender equality and are committed to staff diversity and inclusion. The compatibility of career and family is of central importance to us. For more information about Eawag and our work conditions please consult www.eawag.ch
. Applications must be submitted by 27 March 2023
For further information, please contact PD Judit Lienert
. We look forward to receiving 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.