Job opportunities

Currently no open positions.

Currently no open positions.

Currently no open positions.

• Unlocking the Secrets of the Universe through Gravitational Waves

  Gravitational waves, ripples in the fabric of spacetime caused by cataclysmic cosmic events, offer a new and unique window into the Universe's hidden secrets. From colliding black holes to neutron star mergers, these waves carry information that has never been accessible. This master's thesis project will allow you to perform cutting-edge research, utilizing state-of-the-art technology and computational methods to analyze and interpret gravitational wave data.

  Supervisor: Gianluca Inguglia

• Interpretation of Searches for New Physics

  What do the LHC results really tell us? Have we searched for new physics thoroughly enough? Have we missed anything?

  Supervisor: Wolfgang Waltenberger

• Search for dark matter production at Belle II

  Low mass dark matter can be produced in electron-positron collisions and manifest itself in a variety of processes, from the direct production as decay product of dark forces to the interference in rare decay processes of standard model mesons involving invisible final states.

  Supervisor: Gianluca Inguglia

• Master's thesis "Semiconductor micro strip sensor development"

  Supervisor: Thomas Bergauer

• Evaluation of the background of the CRESST dark matter experiment

  Supervisor: Dr. Valentyna Mokina

• Selection of high-radiopurity materials for dark matter experiments

  Supervisor: Dr. Valentyna Mokina

• Masterarbeit - Physik mit Top Quarks & neue Prozesse im CMS Experiment

  Projekt: CMS Analyse

  Supervisor: Robert Schöfbeck

• Master thesis - Project Belle II / InterLeptons Group

  Flavor anomalies at the Belle II experiment

  Supervisor: Gianluca Inguglia

• Graph neural networks for lepton identification in CMS experiment

  Lepton identification with graph neural networks in the CMS experiment

  Supervisor: Suman Chatterjee and Robert Schöfbeck

• Masterthesis "Machine-Learning based anomaly detection"

  The "Machine Learning for Particle Physics" group offers projects for Master Theses that explore new applications for CATHODE, including new signal shapes, new data representations, or new datasets.

  Supervisor: Claudius Krause

• Masterthesis "FastSimulation studies with deep generative models"

  Project: Machine Learning

  Supervisor: Claudius Krause

• Physikalische Analyse der Daten des Belle-Experimentes

  Mit echten Daten die Auswertung eines Hochenergiephysik-Experimentes kennenlernen

  Supervisor: Christoph Schwanda

• Charakterisierung von Detektoren

  Schnuppern von Reinraumluft

  Supervisor: Thomas Bergauer

Currently no open positions.

Currently no open positions.