The Climate and Environmental Remote Sensing group (CLIMERS; http://climers.geo.tuwien.ac.at/) of the Department of Geodesy and Geoinformation of TU Wien develops long-term remote sensing datasets of soil moisture and vegetation and uses them to address urgent environmental issues, such as water resources management, drought monitoring and wildfire prediction. To support the research activities of the group we are currently looking for a highly motivated
Data Scientist in Climate and Environmental Remote Sensing
with strong skills and interest in software development, machine learning, and earth system modelling. As part of the CLIMERS team, you will develop and implement methods to integrate earth observation and model data, process large data volumes, validate the results, and develop prediction models based on machine learning. Therefore, should be familiar and comfortable with handling large datasets in different data formats. Your skills in statistical modelling and data analysis will contribute to online platforms facilitating visualization and validation of complex earth observation products.
Your results will directly feed into different research projects (e.g. funded by European Space Agency) carried out in collaboration with international partners.
If this job opportunity fits your ambition we are looking forward to receiving your application (cover letter, CV, relevant references and publications, if available) in English as a single PDF file via e-mail to firstname.lastname@example.org. Candidate selection will start on October 5th, 2020 and will continue until a suitable candidate is found. TU Wien will not refund any cost occurring in the course of the application.
For further information, please contact Prof. Wouter Dorigo at email@example.com.