PhD candidates / Research Assistants in nationwide crop classification, plant nutrient monitoring, and biodiversity estimation from satellite images using deep learning

     
Employer
Published
WorkplaceZurich, Zurich region, Switzerland
Category
Position

Description

The newly founded EcoVision Lab at ETH Zurich, led by Dr. Jan Dirk Wegner, is seeking applications for PhD positions. EcoVision is part of the Photogrammetry and Remote Sensing group (Prof. Konrad Schindler) and will research exciting, new machine learning and computer vision methods to solve challenging environmental and ecological monitoring tasks. We seek two

PhD candidates / Research Assistants in nationwide crop classification, plant nutrient monitoring, and biodiversity estimation from satellite images using deep learning

The successful candidates will work on a project in cooperation with the Swiss Federal Office for Agriculture (BLW), aiming to develop (deep) machine learning approaches to classify crops, to monitor the nutrient status of plants, and to estimate biodiversity nationwide. Prior experience in machine learning, computer vision and remote sensing is a plus, fluency in English is required (both written and spoken). We offer an exciting and stimulating environment to study and work in: ETH has several internationally recognized research groups dedicated to computer vision, machine learning, ecology, and the agricultural sciences. We also collaborate with many more institutions and companies in the fields of computer vision, machine learning, earth observation, in Switzerland and abroad.

We are looking for candidates with an interest in performing cutting edge research, strong motivation, and a desire to learn. An ideal candidate will have: an excellent degree (M.Sc., M.Eng. or equivalent) in Computer Science, Machine Learning, Remote Sensing, or a related field (e.g. Electrical Engineering, Applied Mathematics), strong mathematical understanding, and programming experience, preferably in C++ and/or Python.

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and reference  JobID 39809.


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