Dr. Sebastian Schubert

Roles • Sub Product Owner Lidar “4D” Sensor Model • Tech Lead “Uncertainty Modelling” Tasks • Noise modelling for real time filtering (Extreme Value Theory, Maximum Likelihood Method, gradient descent) • 3D Point Cloud of via ROS • Dev of statistical models for filtering physical distortions • Algorithm development for range/blockage est • Handling and answering of RFQ and RFI Work tools • Prototyping in Python and MATLAB • SAFE (Scaled Agile Framework) • C++ (AUTOSAR, ASPICE) using git + CI workflow

- Development of statistical models for improving signal-to-noise analysis for Lidar Sensors - coordinate development of Hardware-Software Interface - create tools for visualization of a lidar point cloud

Core Research Tasks • Integration of complex algos in a GCM of the atmosphere (Runge-Kutta, Lyapunov vectors) • Modelling and analysis of atmospheric perturbations (Python, FORTRAN, MATLAB) • Dimensionality reduction using PCA and Fourier analysis • Application for research grants Work methods • Software development in international teams using version control (Git) • BLAS and LAPACK for reliable employment of linear algebra methods • Scientific computing utilizing high performance capabilities of DKRZ

Post-Doctoral Researcher im DFG Projekt "MERCI"

Studentischer Tutor für verschiedene Module der Physik und Mathematik.

Implementierung mathematischer Algorithmen in geophysik. Modellen. Ziel war die Instabilitäten (Lyapunov Vektoren), welche das chaotische Verhalten vieler Wettermodelle beschreiben. Weitere Schwerpunkte: Modelentwicklung in Fortran und Python Datenauswertung in MATLAB und Python

Astronomie Quantenfeldtheorie Teilchenphysik Funktionalanalysis Allgemeine Relativitätstheorie