• 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

Prerequisites: Programming skills in Python and/or R; experience in data analysis

Earliest possible start date: Immediately

Duration: Approximately 6 months

Contact details:

Ao. Univ.-Prof. Dr. Andreas Wimmer, +43 (316) 873-30101,

Dr. Constantin Kiesling, +43 (316) 873-30092,


If this job profile does not match your career expectations, then we cordially invite you to view our other advertised positions as well or to apply without reference to an open position, describing your career goals, your desired fields of work and your abilities.
In order to perform our research activities at the highest level, which are oriented towards the overall system, we are continuously expanding our team in the disciplines of mechanical engineering, physics, mathematics, process engineering, material science, electronics, data science, sensor technology and others.