Doktorand*in in der Arbeitsgruppe Astroteilchenphysik
Core
Develop and optimize trigger algorithms for the IceCube neutrino detector to search for faint particle signatures and magnetic monopoles.
Role type
PhD researcher in astroparticle physics
Builds
Real-time data processing pipelines and trigger systems for the IceCube detector
Domain
Physics, astroparticle physics, high-energy physics
Deliverable
production ML models
Required skills
particle physics, astroparticle physics, Python, C++, data analysis, simulation, machine learning
Preferred skills
FPGA-based data processing
Technologies
IceCube detector, Python, C++, machine learning
Responsibilities
Develop and optimize the Faint Particle Trigger (FPT) for IceCube; Develop trigger and filter algorithms for fractionally charged particles and magnetic monopoles; Analyze and simulate IceCube data; Implement algorithms for real-time data processing; Use machine learning for event detection; Present and publish scientific results
Seniority
PhD researcher
