Scientific position in Crop Monitoring

Scientific position in Crop Monitoring

m

December 16, 2019

We are looking for a new staff member who is interested in an interdisciplinary project on the use of remote sensing technologies for crop production monitoring. This remote sensing science position (50% TVL) comes with the opportunity to pursue a PhD starting in February.

Project Descriptions:

The project is integrated in an inter-disciplinary project on the digital transformation in the farming sector. Different disciplines are working on the experimental field in Northern Germany to foster the use of state of the art Earth Observation techniques in the farming practice. Your remites are:

  • Analysis of multi-scale EO data on crop health, phenology or climate impact research.
  • GIS data and satellite data management in a multi-disciplinary project team with a focus on digital agriculture monitoring.
  • developing analyses ready data (ARD) workflows for optical and SAR satellite data and UAV data within the Data Cube infrastructure
  • use of innovative satellite data infrastructures (Open Data Cube) in the field of digitalization and agriculture.

Your Profile:

  • You have sound experience in dealing with satellite data, in particular SAR data and optical satellite data.
  • You have experience in working with GIS and Remote Sensing
  • You have knowledge in programming languages like Python, R or Java Script and are motivated to develop yourself further
  • You like to work in an international and multi-disciplinary project
  • You have a M.Sc. degree in environmental science (preferably geography, geoinformatics, or computer science)
  • you are interested to deepen your knowledge of cloud-based software solutions.
  • you are interested to implement the Open Data Cube
  • you are interested in teaching and help to organize trainings on the use of Earth Observation Data Cubes.

We offer you:

  • New exciting challenges of future-oriented topics in a creative team-oriented environment at the Remote Sensing Department of the University of Würzburg.
  • You benefit from an extensive scientific network and the close connection to the German Aerospace Center (DLR).
  • We offer a 50% position and a close scientific mentoring to advance your academic career. You have the opportunity to write a doctoral thesis within the framework of this activity.

Apply with your complete application documents by e-mail to:
christian.huettich@uni-wuerzburg.de

Further Information:
Web: https://remote-sensing.org
Phone: +49 (0) 931 31 82583

follow us and share it on:

you may also like:

Setting Up for the 2nd EO4CAM Nutzerworkshop

Setting Up for the 2nd EO4CAM Nutzerworkshop

Right now our staff are busy hauling cases, mounting displays and testing every cable for the 2nd EO4CAM Nutzerworkshop, “Erdbeobachtung für die Klimaanpassung, behördliche Akteure in Bayern”. The doors open tomorrow, and the exhibition...

A dashboard for multi-UAS thermal data

A dashboard for multi-UAS thermal data

Mapping an active fire with various drones flying in parallel is hard enough. But getting the data processed, evaluated and turned into research datasets is a different story. The publication is on its way, and for now we’d like to share a dashboard by Antonio José...

Have you ever wondered how many trees there are on our campus?

Have you ever wondered how many trees there are on our campus?

Sometimes a chat during a formal event like the one for the Urban:Pulse funding celebration, results in something totally different. Following a discussion with the vice-president of our University, we promised to look into the research by one of our PhD students...

Earth Observation at the DFG BETAFOR workshop

Earth Observation at the DFG BETAFOR workshop

Jakob Schwalb-Willmann represented our team at the DFG BETAFOR workshop in the Bavarian Forest National Park. The room was full of biologists, which is the whole point of an interdisciplinary project, and our UAS multisensor time series drew a lot of interest from the...

Thermal Drone Data Acquisitions: CalVal project with Informatics

Thermal Drone Data Acquisitions: CalVal project with Informatics

Thermal cameras on drones look very good - visually. They show us temperature of our study objects be it stressed trees, warm patches in a city or active fires. But we do not yet know for sure how far we can trust the temperature values they deliver especially when...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This