We are Europe’s largest semiconductor manufacturing location, combining smart solutions with leading edge technologies in our Dresden Foundry – for our customers, for groundbreaking products and for a sustainable future. In addition to our existing manufacturing of 28nm semiconductor products, our new 22nm technology (22FDX) sets standards with regard to energy efficiency and performance. With our energy saving technology, we are targeting the growth markets of the future: the ‘Internet of Things’, including areas such as Industry 4.0, Wearables, Automotive, 5G and RF/mmWave.
You will have the opportunity to gain experience in data processing in one of the leading semiconductor factories in Europe. As a student employee, you will collect quality related data and support the team in the search for hidden patterns that allow conclusions on sensible measures to improve Manufacturing Quality. This task includes the development of queries for the extraction of data and the linking of information that initially appears to be incoherent to form a consolidated data set. In this context, you will support the team in assuring quality gates in a manufacturing environment and provide interactive reports. You will also develop workflows to join and align data sets into one and carry out independent tests using statistical programming.
- You are a student (m/f/d) and currently enrolled at a college or university.
- You study industrial engineering, computer science, physics, electrical engineering, business IT, process engineering or a related topic.
- You have knowledge of database programming.
- Ideally, you will have some experience in creating interactive reports (e.g. Spotfire) and statistical programming (R, Python).
- Proficient use of routine office programs is expected.
- You have a high level of analytical understanding and enjoy working in a highly motivated team.
- Good spoken and written English skills are expected.
The position is available immediately for a duration of at least 6 months
As a working student your hours are limited to max. 20 h/week during the semester and during the semester break you can work up to max. 40 h/week.
Please apply with your complete set of documents and indicate your earliest possible starting date and planned hours together with the fooling items:
- Cover letter
- Curriculum vitae
- Current certificate of university enrolment
- Current grades overview
- Abitur or final school certificate
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To view the job application please visit gfoundries.taleo.net.