Master Thesis: Predict Manufacturing Processes with
vor 2 Wochen
In your new role you will:
- Gain experience with
ion beam tuning which is critical for each process specification change at implantation - Work on an
AI prediction model that estimates the tuning outcome for the consecutive implantation process as the first step (
part of your thesis ). The final goal is to extend it to predict outcomes for multiple upcoming tunings
Further information
Type of employment:
Full-time (Flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)
Duration:
min. 6 months
You are best equipped for this task if you have:
- A Bachelor's degree and most of your Master courses finished in
Data Science (or similar degree) - A solid experience with
Python ,
including scikit
learn and
TensorFlow /
Keras /
Pytorch , makes you wellprepared for the task - Fluent
English-Skills (written and spoken) and
German as a plus - Know-How about
SQL and
databases (would be advantageous) - CV
- Motivation letter
- 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)
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.
Click here for more information about working within our Frontend department at our site in Villach and an overview of all open jobs
#FrontEndAustria
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