Thorsten Hoeser
Postdoctoral Researcher at German Aerospace Center (DLR)
Bonn, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolThorsten Hoeser is a postdoctoral researcher and machine learning practitioner with eight years’ experience building automated Earth observation processing pipelines and intuitive data visualisations. He combines deep learning, signal processing and classical statistics to extract actionable insights from remote sensing data, from global offshore wind detection to fault localization in telecommunications. At DLR he develops scalable ML analyses for satellite imagery while previously enabling Deutsche Telekom to integrate LLMs for process automation—demonstrating fluency across research and production settings. A summa cum laude doctoral graduate in geography, he’s an enthusiastic lecturer and self-paced learner who also manages server hardware and generates synthetic data to strengthen model robustness. Notably, his background spans hands-on field skills (electronic technician apprenticeship) through advanced research, giving him a rare blend of practical engineering and academic rigor.
8 years of coding experience
8 years of employment as a software developer
Dr. rer. nat., Geography, summa cum laude, Dr. rer. nat., Geography, summa cum laude at The Julius Maximilians University of WürzburgMaster of Science - MS, Geography, 1.1 (with honors), Master of Science - MS, Geography, 1.1 (with honors) at The University of Bonn
Github Skills (8)
icon-pack10
svg-files10
logos10
branding9
svg-images9
svg9
coco6
api5
Programming languages (3)
Github contributions (5)
thho/StaMPS_Visualizer
Sep 2018 - Nov 2021
Shiny application to visualize DInSAR results processed by StaMPS/MTI
Contributions:2 releases, 62 commits, 30 pushes in 3 years 2 months
thho/sentinel_processing
Nov 2018 - May 2019
Contributions:15 commits, 13 pushes, 1 branch in 5 months
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