Master Thesis: Feature extraction of sensor data

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Master Thesis: Feature extraction of sensor data

At a glance

At KAI Kompetenzzentrum Automobil- und Industrieelektronik GmbH, you will perform your thesis project in an industrial research environment, guided and supported by experienced researchers. We work in close cooperation with universities and research facilities supporting your academic education, whereas our industrial partner Infineon offers interesting opportunities for a prospective career path in the semiconductor industry. In a semiconductor production line, every process step is monitored to guarantee high quality products. Every machine is equipped with sensors recording data reflecting the machines behavior during processing. If deviations occur, they might lead to unreliable behavior of the final product and hence, need to be detected to apply appropriate countermeasures. To detect process deviations, features like the mean or standard deviation are calculated out of the sensor data. These so-called key numbers are provided with limits, to automatically detect deviations or drifts in the behavior of the machine. Nevertheless, there are still phenomena, which cannot be detected with these kind of key numbers. Therefore, more sophisticated features like derivatives of the sensor data might provide the needed information. Infineon Technologies Austria AG in cooperation with KAI GmbH is involved in the EU project iDev40 for the development of new methods. Within the framework of this project we offer a Master Thesis.

Quick info


Entry level
Thesis support

Job ID


Full time


Job description

The tasks of your new role will include:

  • Literature study on signal processing, machine learning, time series analysis, functional data analysis (characteristics, applications, possibilities, ...)
  • Understanding of the data source (machine/process data,...) through the exchange with experts
  • Extraction of new features, providing input for the correlation analysis with other data bases
  • Performant and user-friendly implementation of methods
  • Documentation of the results and preparation of a master thesis

Start: 01.10.2019
Contract type: Temporary/full time

This position is subject to the collective agreement for workers and employees in the electrical and electronics industry. The salary for this position is EUR 2.210 gross p.m. (part time possible).


You are best equipped for this task if you have:

  • A completed Bachelor's degree and advanced Master's degree in Mathematics, Statistics, Data Science, Computer Science or similar
  • Good knowledge in statistics
  • Experience in the field of signal processing, machine learning, statistical time series analysis and functional data analysis is advantageous
  • Programming skills in e.g. R, Python or Matlab
  • German and/or English - written and spoken

Please attach the following documents to your application:

  • Motivation letter
  • CV
  • Copy of your Certificate of matriculation at a university
  • Copy of your Transcript of records
  • Copy of the highest completed educational certificate (Bachelor certificate for Master students)

About Us

Part of your life. Part of tomorrow.

We make life easier, safer and greener - with technology that achieves more, consumes less and is accessible to everyone. Microelectronics from Infineon is the key to a better future. Efficient use of energy, environmentally-friendly mobility and security in a connected world - we solve some of the most critical challenges that our society faces while taking a conscientious approach to the use of natural resources.

*The term gender in the sense of the General Equal Treatment Act (GETA) or other national legislation refers to the biological assignment to a gender group. At Infineon we are proud to embrace (gender) diversity, including female, male and diverse.

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