Topics for Bachelor and Master students


The current main goal in research for JUNO is the simulation of data to determine the sensitivity in different areas of research and the development of readout electronic for the Osiris detector. You should bring interest in particle physics and commitment. Knowledge in C++ , python or hardware are desirable but not necessary for the thesis.

In particular, the group currently offers the following thesis topics (D = detector / hardware, Comp = computing, A = analysis, MC = simulation):

Bachelor Thesis:

  • Reconstruction of photomultiplier signals with the Firmware of the readout board (FPGA) (D/A)
  • Evaluation of the intelligent Photomultiplier Tubes for the OSIRIS detector (D/A)
  • Particle Identification using Deep Learning Methods (MC/A)
  • Investigation of the separation power of JUNO for different supernova-models (MC/A)
  • Energy and Vertex reconstruction for the Osiris detector

Master Thesis:

  • Simulation, measurement and reconstruction of PMT pulses in the OSIRIS experiment (MC/D/A)
  • Particle Identification using Deep Learning Methods (MC/A)
  • Determination of the sensitivity to CP-violation in the observation of atmospheric neutrinos with the JUNO detector (MC/A)
  • Application of the Double Chooz likelihood analysis on the oscillation measurement in JUNO (A)
  • Event selection and unfolding for the flavour dependent supernova neutrino spectrum, including carbon interactions (A)

If you are interested, please contact Professor Stahl, Professor Wiebusch or Livia Ludhova.