Postdoctoral Fellow in hyperspectral remote sensing of lake water quality

     
Employer
Published
WorkplaceDübendorf, Zurich region, Switzerland
Category
Position

Description

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 Surface Waters - Research and Management (Surf) is seeking a highly motivated

The aim of this position is to explore the use of automated optical ground measurements and hydrodynamic simulations for the development of a new water quality retrieval algorithm for hyperspectral data. The position is part of a collaboration between Eawag, the Swiss Federal Institute of Technology in Lausanne, and the University of Zurich.

Since summer 2019, measurements of inherent and apparent optical properties are recorded several times a day nearby a research platform in Lake Geneva ( ?url=www.lexplore.ch&module=jobs&id=46047" target="_blank" rel="nofollow">www.lexplore.ch ), while hydrodynamic circulation is simulated with an operational 3D hydrodynamic model ( ?url=www.meteolakes.ch&module=jobs&id=46047" target="_blank" rel="nofollow">www.meteolakes.ch ). Remote sensing of water quality parameters is typically limited by assumptions concerning optical properties and their vertical homogeneity. Using automated measurements and simulations, we can replace current assumptions with qualified information and consequently enable better remote sensing algorithms.

We are looking for a motivated person at the post-doc level who will be involved in the following tasks:
o Development of a processing chain for hyperspectral data using existing methods
o Investigate relationships between vertical density gradients and optical
  non-uniformities
o Identify spectral features that are sensitive to optical non-uniformities
o Implement and validate a retrieval algorithm that exploits hyperspectral, ground measured and simulated data at once

The successful candidate will have a PhD in remote sensing, data science, or similar. He will have an in-depth understanding of statistical analysis and excellent programming skills (e.g. Python, Matlab). Proficient spoken and written English, good organizational skills and an independent working style are required.

Applications are reviewed on an on-going basis until the position is filled. Applications must include a motivation letter and a CV. The period of appointment is 12 months with the option to extend by another 18 months, starting as agreed upon.


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 ?url=www.eawag.ch&module=jobs&id=46047" target="_blank" rel="nofollow">www.eawag.ch and ?url=www.eawag.ch%2Fen%2Faboutus%2Fworking%2Femployment&module=jobs&id=46047" target="_blank" rel="nofollow">www.eawag.ch/en/aboutus/working/employment .

For further information please contact Dr Daniel Odermatt, E-mail daniel.odermatt [at] eawag[.]ch .


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.

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