Scientific position on health monitoring using EO data

Scientific position on health monitoring using EO data

m

December 19, 2019

Research Topic: Earth observation for health monitoring – Emission sources from satellite data for an improved forecast of the pollen flight in Bavaria

The aim of the PhD project is a valid and practicable pollen forecast for Bavaria, which is characterized by a high spatial resolution as well as by a prediction as early as possible. The emission sources shall be derived from current Sentinel-2 time series using EO data cubes and coupled with dispersion models developed for atmospheric composition and pollen prediction. The overeall goal of the project is to integrate latest Earth observation technologies with digital health mapping to improve the provision of allergy risk maps.

  • time series analyses of Sentinel-2 satellite data and in-situ data on vegetation phenology in forest and grassland ecosystems.
  • time series analyses and mapping workflows using analyses ready data (ARD) in an Earth Observation Data Cube framework.
  • integrate research on in-situ field data on forest tree species and grassland land use and land cover data together with multi-scale UAV and satellite data for vegetation structure and land dynamics mapping.
  • testing and integrating satellite-based land use and land cover data with existing spatially related numerical dispersion models developed for atmospheric composition.
  • training and workshops for stakeholder and user trainings within the project team.

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 and have already used it in a project-related context.
  • You have knowledge in programming languages like Python, R or Java Script and are motivated to develop yourself further here.
  • You like to work in an multi-disciplinary project Earth Observation/remote sensing context including computer science, forestry, biology and geography.
  • You have completed your M.Sc. in environmental science (preferably, geography, geoinformatics or computer science)
  • You are interested to familiarize with the development of cloud-based software solutions

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 for three years 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.

Severely disabled persons are given preferential employment if their aptitude, skills and professional performance are essentially the same. The recruitment is subject to the approval of the project by the funding agency.

Apply with your complete application documents by e-mail to:

christian.huettich@uni-wuerzburg.de

Further Information:

Web: http://remote-sensing.org | Phone: +49 (0) 931 31 82583

Download the announcement PDF here!

you may also like:

New PhD student Adomas Liepa

New PhD student Adomas Liepa

I started my academic career in Bergen, Norway where I studied geophysics. During my bachelor's degree I became more interested in Earth's surface and surface dynamics, rather than the interior of the Earth, which is what geophysics focuses on. After obtaining my...

Merry Christmas and a Happy New Year 2021

Merry Christmas and a Happy New Year 2021

An unprecedented year with various unexpected events and many required changes had to be managed by our department like by many other organizations as well. A challenging year is coming to an end. We at the Department of Remote Sensing at the University of Würzburg...

most recent news:

New researcher Pawel Kluter

New researcher Pawel Kluter

Pawel Kluter joined the Department of Remote Sensing as a Research Associate in November 2020. His main role is the deployment of Data Cubes in cloud environments (Front End / Back End), as well as the development of remote sensing processing routines using Python....

New PostDoc Dr Insa Otte

New PostDoc Dr Insa Otte

We are very happy to welcome Insa Otte at the Department of Remote Sensing as a new research fellow. Before joining the department, Insa worked on rainfall in-situ data and focused on extreme events. But generally, she has a great interest and experience in...