Prof. Dr. Stephan Paul

Phone: +49 89 289-12571
Room: 3263
E-Mail: stephan.paul@tum.de
Links: Homepage
Page in TUMonline
Group: Hadronic Structure and Fundamental Symmetries
Job Title: Professorship on Hadronic Structure and Fundamental Symmetries

Courses and Dates

WS 2022/3 SS 2022 WS 2021/2 SS 2021

Title and Module Assignment
Art	SWS	Lecturer(s)	Dates
Nuclear, Particle, and Astrophysics for Students of Education eLearning course Assigned to modules: PH9117: Kern-, Teilchen- und Astrophysik für Lehramt / Nuclear, Particle, and Astrophysics for Students of Education
VO	4	Paul, S.	Tue, 10:00–12:00, PH II 127 Wed, 14:00–16:00, PH II 127
Happy Hour for Particle and Nuclear Physics eLearning course course documents Assigned to modules: PH1305: Happy Hour der Kern- und Teilchenphysik / Happy Hour of Nuclear and Particle Physics PH1451: Happy Hour der Kern- und Teilchenphysik für Bachelorstudierende / Happy Hour for Particle and Nuclear Physics for B.Sc. Students
HS	2	Paul, S. Assisstants: Greenwald, D.	Tue, 16:00–18:00, PH 3268
Exercise to Nuclear, Particle, and Astrophysics for Students of Education eLearning course Assigned to modules: PH9117: Kern-, Teilchen- und Astrophysik für Lehramt / Nuclear, Particle, and Astrophysics for Students of Education
UE	2	Responsible/Coordination: Paul, S.	dates in groups
Revision Course to Happy Hour for Particle and Nuclear Physics Assigned to modules: PH1305: Happy Hour der Kern- und Teilchenphysik / Happy Hour of Nuclear and Particle Physics PH1451: Happy Hour der Kern- und Teilchenphysik für Bachelorstudierende / Happy Hour for Particle and Nuclear Physics for B.Sc. Students
RE	2	Responsible/Coordination: Paul, S.
Scientific Topics in Particle Physics for Students and Staff Members course documents Assigned to modules: PH6048: Seminar zu aktuellen Forschungsthemen in der Teilchenphysik / Seminar on Current Topics in Particle Physics
SE	2	Märkisch, B. Paul, S.	Thu, 09:30–11:00, PH 3268

Offered Bachelor’s or Master’s Theses Topics

Development and Integration of Algorithms for Scientific Satellites

The Laboratory for Rapid Space Missions at the Origins Cluster of Excellence focuses on the development of scientific instruments for compact satellite platforms, called CubeSats. These nanosatellites enable the fast and modular deployment of complete, autonomous satellite systems at low cost.

Our research includes detectors to measure antimatter flux in low orbits, where scientific success relies on finding suitable algorithms and hardware platforms to filter and classify particle events. In addition, satellite-based science oftentimes requires precise determination of pointing direction, for which we are developing our own star tracker. We offer opportunities in the fields of data processing, machine learning and hardware design, which could include the following tasks:

Simulation and modeling of particle fluxes
Data processing for our antimatter detector, including neural networks, particle filters, and conventional classification approaches
Image processing and optical engineering for attitude determination with our star tracker
Identification of suitable hardware architectures and integration of your own software
Work with VHDL, TensorFlow, Python, Zemax, Geant4, Altium Designer

What we expect from you:

Capability for independent and self-reliant work
Motivation, creativity and general interest in data processing and machine learning
Hands-on mentality and ability to work in a small, interdisciplinary team
Experience in one or more of the above-mentioned programming languages appreciated

Are you interested in working in an exciting and challenging environment with state-of-the-art technologies? Let’s have a talk!

suitable as

Master’s Thesis Nuclear, Particle, and Astrophysics

Supervisor: Stephan Paul