Internship: Data Science in Production

vor 2 Wochen


Villach, Kärnten, Österreich Infineon Technologies Vollzeit

In your new role you will:

  • Gain competence in the field of
    machine learning and
    deep learning:
  • Develop
    algorithms and
    analyze data for semiconductor production in cooperation with experts and users
  • Realize a process optimization in
    production environment together with a dynamic team following
    6 sigma techniques and tools for
    process improvement

Further information

Type of employment:
Temporary / Part-time (Flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)

Duration:
min. 6 months

You successfully meet the requirements for this position if you are a motivated and committed student from the field of

Mathematic

s ,

Physics ,

Computer Science ,

Data Science or a technical degree with a focus on digitization.

You are best equipped for this task if you:

  • Are interested in
    manufacturing processes and
    related activities:
  • Enjoy working with
    databases ,
    algorithms and
    IT systems:
  • Have knowledge in
    programming languages such as Python, R, SQL databases and Big Data (as advantage)
  • Motivation letter
  • CV
  • Certificate of matriculation at a university (you must be enrolled and not on academic leave)
  • Latest Transcript of records (not older than 6 months)
  • Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students)
  • Reference letter (optional)
More than 5.000 people work at five different sites in Austria.

Driving decarbonization and digitalization. Together.
The

Frontend (FE) cluster offers a broad range of manufacturing competence specialized in high-quality logic products. The portfolio represents Power, Bipolar, Sensor, Passive and Diode technologies as well as CMOS, RF-CMOS and embedded flash technologies. The manufacturing sites in Dresden, Kulim, Regensburg and Villach are committed to Operational Excellence with strong customer focus.

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