PhD student for remote-sensing-based crop classification
Zürich, Schweiz
vor 22 Tg.

The digitalization of agriculture currently changes a lot of monitoring routines and management practices. In a joint project between our group of Crop Science (Prof.

Achim Walter, direct supervision via Dr. Frank Liebisch) and the group of Photogrammetry and Remote Sensing (Prof. Konrad Schindler, EcoVision Lab of Dr.

Jan Dirk Wegner), we will classify crops via machine learning approaches based on satellite images. The project is funded by the Swiss Federal Office for Agriculture (FOAG).

Our group is renowned for its expertise in field crop phenotyping performed with unmanned aerial vehicles and with ETH Zurich’s field phenotyping platform’ (FIP, http : / / www. / infrastructure / FIP.html) that offers a unique platform for automated, image-based crop analysis. The project will be complemented by two other PhD-

studies situated in Prof. Schindler’s group that will primarily be concerned with the development of deep learning approaches for tasks in land use, crop classification and topics related to biodiversity.

The successful candidate will establish a field validation dataset in two agricultural regions and apply the above-mentioned approaches to test and improve the established framework to classify crops and managed grassland systems reliably via satellite images.

Additionally, the dataset will be enriched with phenological and crop vitality information to include crop stage and status information.

Therefore, hyperspectral data will be collected on plot and field scale to simulate satellite derived information. In a last step, the established methodology will be applied to agriculturally managed grassland systems.

Prerequisites are a master level degree in agricultural sciences or a related field with excellent grades and good knowledge of remote sensing or geographical information systems.

Experience in programming, spectroscopy and image processing, together with a strong interest in field work would be desirable.

We are seeking a highly motivated, team-oriented candidate, who is expected to elaborate high-quality publications meeting international standards, to have strong communication skills and be proficient in English.

German language skills would be desirable since communication with local authorities and farmers is envisaged. This position will be under SNF salary regulations for a duration of three years.

The project start is envisaged for October 1, 2018. We look forward to receiving your online application including a cover letter illustrating their suitability for the above position together with detailed curriculum vitae, including names and addresses of three referees until August 31, 2018.

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information about the institute visit our website Questions regarding the position (no applications) should be directed to Frank Liebisch (frank.liebisch

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