Open Positions
The currently available topics for students are in the frame of the High-D consortium, the CMS tracker upgrade, and of the MADMAX experiment.
Listed below are possible areas of work as example. Contact us for more details.
1) Gain competences relevant for your future career in experimental physics or industry
Semi-automatic mass production
Automatization is the key for reliable, high throughput production of high tech components. The quality of the product still depends on the accurate process defined and developed by scientists.
Experience how to set up a semi-automatic production line, and how to define and validate a multi-parameter process with the examples of:
- the robotic arm aided CMS pixel phase II module production
- the CNC based tiling of MADMAX discs
Quality assurance and Quality control
An increasing important aspect in industrial and scientific production of high tech is the process of QA/QC. Learn its definition, planning, implementation, and monitoring with the example of the CMS pixel phase II module production.
Characterization of photodetectors for biomedical physics, autonomous driving (LIDAR), HEP detectors
Detecting photons in the visible spectrum with high quantum efficiency is the key to numerous scientific and societal applications. Learn the fundamental principle of operation of silicon passed photo-detectors, the experimental techniques for their characterization and possible applications in our research field and beyond.
Our project are embedded in the research of the German High-Energy and Nuclear-Hadron physics detector development consortium (High-D), and in direct collaboration with industry partners producing SiPMs.
Your acquired competences during this project:
- Planning a semi-automatic process for mass production
- Planning the QA/QC sequence for a mass production
- Development of experimental setups
- Control of high precision mechanics
- Characterization of silicon-based radiation sensors
- Statistical data analysis
- Experience with data acquisition and slow control systems
- Database management
- Basic programming (e.g. Labview, python)
Your required knowledge / skills:
- Solid state physics (3rd semester bachelor)
- Particle physics (5th semester bachelor)
- Basic programming (e.g. Labview, python)
2) Search for Axion Dark Matter
If dark matter shall exist in the form of ultra-light axions the MADMAX experiment is likely to detect it. Participate to the prototyping phase of this unique instrument, its calibration, and the data taking at the CERN MORPURGO magnet. Measurement times are planned for spring 2023, 2024, 2025.
Your acquired competences during this project:
- Understanding of DM Axion physics
- RF detection in GHz range
- Cryogenic systems
- High precision movements and interferometry
- Statistical data analysis
- Basic programming (e.g. Labview, python)
Your required knowledge / skills:
- Electromagnetism (2nd semester bachelor)
- Statistics / data analysis
- Basic programming (e.g. Labview, python)
3) Apply ML algorithms in experimental detector physics
Machine learning algorithms are proven to improve analysis performance in many fields. We test ML algorithms on specific applications in detector calibration, optimization, and reconstruction. In collaboration with the AG Kasieczka (UHH) and the DESY-FTX group we explore projects of application of ML in 5D calorimetry.