* Academic background: PhD in Remote Sensing, MSc in Earth System Science* Remote Sensing projects on topics across many domains, incl. agriculture, forestry, environmental monitoring, infrastructure and security* extensive experience in geospatial data handling, remote sensing data analysis and data science* focus on Machine Learning, Deep Learning and advanced Artificial Intelligence* I strongly believe in continuous learning and an open-minded approach to new challengesProgrammingI have extensive experience in advanced algorithm development and data processing, and use RS/GIS software on a regular basis. * 7+ years of experience in Python programming, esp. for Computer Vision, geospatial applications and data analytics* Data analysis and processing tools: NumPy, SciPy, Pandas, Xarray, Dask, Ray* Machine Learning and Deep Learning frameworks: TensorFlow, Keras, PyTorch, Scikit-Learn, Scikit-Image, among others* Geospatial analysis and processing tools: GDAL, Rasterio, Shapely, GeoPandas, STAC* Geospatial software: ArcGIS Pro/Online, ENVI, QGIS, ESA SNAP, Google Earth Engine, Planetary Computer* Experience in Matlab/Octave and R* Database software: MongoDB, MySQL, PostgreSQL/PostGISOther topicsI am interested in a multitude of research fields and applications beyond Remote Sensing and geospatial data analysis. These include:* Swarm Intelligence* Evolutionary Learning* Image Processing / Computer Vision* Object detection and localization* Graph Theory* Bayesian statistics* Data & Image Fusion* Generative ModelsScientific activityAside from publishing in peer-reviewed journals and scientific conferences, I am an active reviewer for multiple scientific journals, incl.:* MDPI Remote Sensing* ISPRS Journal of Geo-Information* MDPI Mathematics