ams OSRAM GmbH
Master thesis-Investigation of Bosch-Process to Maximize Robustness & Full-wafer Uniformity(m/w/x)
Part-timeOn-siteExperienced
Premstätten
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AMams OSRAM GmbH
Master thesis-Tracking defect evolution to predict yield in semicon CMOS via machine learning(m/w/x)
Premstätten
Part-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Tracking defect evolution via machine learning for yield prediction in semicon CMOS. Bachelor's degree in data science and ML/AI experience required. Performance-based benefits, experience-based benefits.
Requirements
- Bachelor’s degree in data science or comparable
- Experience in Machine Learning or Artificial Intelligence
- Experience in semiconductor environment (beneficial)
- Independent and structured work approach
Tasks
- Understand defect data and its handling
- Conduct comprehensive literature review on defect data usage in semiconductor industry
- Review existing models incorporating defect data
- Evaluate approaches for yield predictions using defect data
- Collaborate with Defect, IT, and Product Engineering departments
- Learn defect classification and categorization
- Assess current state of available data and its usage
- Define potential solutions for the problem statement
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Benefits
Bonuses & Incentives
- Performance-based benefits
Other Benefits
- Experience-based benefits
Additional Allowances
- Qualification-based benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of ams OSRAM GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Master's Thesis „Machine Learning Models for Data Preparation in Automotive CFD-Simulation Process“(m/w/x)
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AMams OSRAM GmbH
Master thesis-Tracking defect evolution to predict yield in semicon CMOS via machine learning(m/w/x)
Premstätten
Part-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Tracking defect evolution via machine learning for yield prediction in semicon CMOS. Bachelor's degree in data science and ML/AI experience required. Performance-based benefits, experience-based benefits.
Requirements
- Bachelor’s degree in data science or comparable
- Experience in Machine Learning or Artificial Intelligence
- Experience in semiconductor environment (beneficial)
- Independent and structured work approach
Tasks
- Understand defect data and its handling
- Conduct comprehensive literature review on defect data usage in semiconductor industry
- Review existing models incorporating defect data
- Evaluate approaches for yield predictions using defect data
- Collaborate with Defect, IT, and Product Engineering departments
- Learn defect classification and categorization
- Assess current state of available data and its usage
- Define potential solutions for the problem statement
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Benefits
Bonuses & Incentives
- Performance-based benefits
Other Benefits
- Experience-based benefits
Additional Allowances
- Qualification-based benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of ams OSRAM GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
ams OSRAM GmbH
Industry
Manufacturing
Description
The company is a global leader in innovative light and sensor solutions, focusing on digitalization, smart living, energy efficiency, and sustainability.
Not a perfect match?
- ams OSRAM GmbH
Master thesis-Investigation of Bosch-Process to Maximize Robustness & Full-wafer Uniformity(m/w/x)
Part-timeOn-siteExperiencedPremstätten - ams OSRAM GmbH
Master thesis-Automated Device Handling for Post Silicon Verification of Integrated Circuits(m/w/x)
Part-timeInternshipOn-sitePremstätten - MAGNA STEYR Fahrzeugtechnik GmbH & Co KG
Master's Thesis „Machine Learning Models for Data Preparation in Automotive CFD-Simulation Process“(m/w/x)
Part-timeInternshipOn-siteGrazfrom 700 / month - Easelink
Master Thesis / Student Assistant(m/w/x)
Full-time/Part-timeApprenticeshipOn-siteGraz - MAGNA STEYR Fahrzeugtechnik GmbH & Co KG
Bachelor's Thesis „Geometry Database Creation for AI Model Training“(m/w/x)
Part-timeInternshipOn-siteGrazfrom 450 / month