9 beste Stellen als science in graz, st – aktuell auf Personalsuche

Master thesis-Tracking defect evolution to predict yield in semicon CMOS via machine learning(m/f/d)
ams-OSRAM AG —Unterpremstätten, ST
- Teilzeit
- Bachelor
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- Vollzeit
- Homeoffice
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NXP Semiconductors —Gratkorn, ST
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NXP Semiconductors —Gratkorn, ST
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- Doktorat
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NXP Semiconductors —Gratkorn, ST
- Vollzeit
- Doktorat
- Master
Masterarbeit "Thermomechanical Simulation of Ultra‑Thin Sheet Welding"
Magna International —Graz, ST
- Master
Direkt bewerben
Senior Firmware Verification Engineer (Formal Methods) (m/f/d)
NXP Semiconductors —Gratkorn, ST
- Vollzeit
- Master
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Vusion —Graz, ST
- Vollzeit
- Bachelor
Direkt bewerben

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science jobs near graz, st

Master thesis-Tracking defect evolution to predict yield in semicon CMOS via machine learning(m/f/d)

ams-OSRAM AG -
Unterpremstätten, ST

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Details zur Stelle

Teilzeit

Qualifikationen

Bachelor

Vollständige Stellenbeschreibung

The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines. By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world. What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world. This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement. Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier.

Theoretical Part:

Get an understanding of what defect data is and how it can be handled.
Comprehensive literature review of state of the art usage of defect data within semiconductor industry (yield prediction, signature prediction, defect classification etc.).
Literature review of possibly already existing models incorporating defect data.
Evaluation of approaches to establish yield predictions with defect data

Practical Part:

Close cooperation with various departments (Defect, IT, Product Engineering etc.)
Understand defect classification/categorization
Get actual state of available data and its usage
Define possible solutions for the problem statement

Completed Bachelor’s degree in data science or comparable
Experience in Machine Learning and/or Artificial Intelligence
Experience in semiconductor environment beneficial
Independent and structured way of working

We offer competitive salaries and additional benefits based on your performance, experience, and qualifications. Employment is in accordance with the collective agreement for the electrical and electronics industry, employment group E (https://www.feei.at/aktuelles/mindestloehne-und-gehaelter-eei/).

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Erweiterte Suche

science Jobs in graz, st

Master thesis-Tracking defect evolution to predict yield in semicon CMOS via machine learning(m/f/d)

DevOps Systems Engineer (f/m/d) - IT Systems

Senior AI/ML System Security Architect (m/f/d)

AI Solutions Lead

Principal Product Security Certification Expert (m/f/d)

Senior System Security Architect (m/f/d)

Masterarbeit "Thermomechanical Simulation of Ultra‑Thin Sheet Welding"

Senior Firmware Verification Engineer (Formal Methods) (m/f/d)

Senior Product Security Engineer (m/w/d)

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