Jakob Schwalb-Willmann just started his M.Sc. thesis titled “A deep learning movement prediction model using environmental data to identify movement anomalies”. He will combine animal movement and remote sensing data in order to develop a generic, data-driven DL-based model that predicts movements from movement history alongside environmental covariates in order to detect movement anomalies. He will establish simulated, controlled environments that allow precise adjustments of the model inputs to test the model’s feedbacks and its variability. It can be considered as a precursor study for the model’s deployment on real data and to only experimentally apply it on such due to the given constraints (time and content) of his M.Sc. thesis. The first supervisor is Dr. Martin Wegmann.
[spotlight] Lecturer Spotlight: Thilo Erbertseder
Thilo is the person at EORC who can tell you exactly how much air pollution was hanging over a given megacity in any given year since the 1990s, and what that actually meant for the people living there. He teaches atmospheric composition and urban remote sensing at...

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![[Spotlight] Lecturer Spotlight: Julian Faeth](https://eagle-science.org/wp-content/uploads/2026/10/Julian_Faeth_EORC_EAGLE_2026-400x250.jpg)


