Jobs:Job-00960
Apply before: 30 June 2019
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Posting:
Position: Researcher
Apply before: 30 June 2019
Apply online:
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The researcher will work on the project “Propensity of rivers to extreme floods: climate-landscape controls and early detection – PREDICTED”, funded by the German Research Foundation.
The project investigates the propensity of river basins to generate extreme floods as a result of the interactions between climatic attributes and features of the landscape. The researcher will utilize hydro-climatic records and a mechanistic-stochastic description of streamflow and floods to unveil the reliability of observed time series and the actual flooding hazard in diverse river basins.
The successful candidate will have:
- A Ph.D. (or the candidate will have completed all PhD requirements by the starting date of the appointment) in Hydrology, Civil/Environmental Engineering or a related field of Environmental Sciences, ideally with experience in stochastic hydrology;
- Excellent programming skills (e.g., Python, Matlab, R), with experience in data analysis and the development and application of analytical and numerical models;
- Fluency in English and good writing skills. Publications in peer-reviewed journals are an advantage;
- Curiosity and an entrepreneurial attitude;
- Willingness to discuss and contribute ideas towards the development of research projects;
- Interest in co-supervising doctoral researchers and master students.
Further desirable assets are:
- Experience with application of statistical methods to large hydrological datasets;
- Knowledge of hydro-climatic processes in mountain environments and modeling of snow dynamics;
- Expertise in river sediment transport.
The post is a 100% position (39 hours per week) with duration of 2 years. Both working hours and starting date are negotiable.
Should you be interested or have enquiries, please contact Dr. Stefano Basso (stefano.basso@ufz.de).
The application should include cover letter, CV and contact details of three referees. Only applications received through our portal (https://recruitingapp-5128.de.umantis.com/Vacancies/1654/Description/2) will be accepted.
We encourage you to get in touch with us early, and look forward to your application!
