• Familiarization with the engine test setup and corresponding measurement
    technology and measurement parameters
  • Preprocessing of engine measurement data
  • Generation of value-added data
  • Establishment of correlations between different measurement techniques
    (engine indication system vs. high-speed oscilloscope measurements)
  • Detailed investigation of potential sensor damage indicators
  • Development of a data-driven damage model for a specific in-cylinder pressure transducer
  • Composition of the master’s thesis



  • Programming skills in Python and/or R
  • Experience in data analysis


Starting date: As soon as possible

Duration: Approximately 6 months



Ao. Univ.-Prof. Dr. Andreas Wimmer, +43 (316) 873-30101, andreas.wimmer@lec.tugraz.at
Dr. Constantin Kiesling, +43 (316) 873-30092, constantin.kiesling@lec.tugraz.at