Fraunhofer-Gesellschaft
Studien-/Abschlussarbeit - Modellierung und Simulation des Beschichtungsprozesses von Sägewerkzeugen(m/w/x)
Full-timeWorking StudentOn-site
Stuttgart
New Job?Nejo!
The AI Job Search Engine
BOBosch
PhD - Lifetime Prediction for Metal Sawing Operations(m/w/x)
Schwieberdingen
Full-timeOn-site
Nejo AI Summary
Combining experimental measurements with finite element simulations to predict tool wear for oscillating multi-tools. Advanced Matlab and Python skills with Artemis data acquisition experience required. Research-focused environment with access to specialized vibration testing labs.
Requirements
- Master's degree in Engineering, Natural Sciences, or comparable
- Average to advanced Matlab and Python skills
- Experience with Artemis data acquisition systems
- Theoretical or practical vibration testing knowledge
- Beneficial knowledge of Ansys or Abaqus
- Passionate approach to complex problem solving
- Active teamwork and clear communication skills
- Passion for researching cutting mechanisms
- Enjoyment of advancing state of the art
- Very good written and spoken English
- Very good written and spoken German
Tasks
- Advance the understanding of sawing process cutting mechanisms
- Identify life-limiting factors like wear fracture and material fatigue
- Combine experimental measurements with finite element simulations
- Identify key parameters for cutting tool wear and operating life
- Predict tool service life using experimental and simulation data
- Develop concepts combining monitoring with predictive maintenance
- Collaborate with international teams to integrate changes into development
- Provide design input for state-of-the-art prototypes
- Analyze dynamics and vibration transmission to improve blade life
Education
Master's degree
Languages
English – Business FluentGerman – Business Fluent
Tools & Technologies
MatlabPythonArtemisAnsysAbaqus
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch 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.
Not a perfect match?
- Fraunhofer-Gesellschaft
Studien-/Abschlussarbeit Drahterkennung zur Werkzeugpositionsbestimmung beim Drahtsägen(m/w/x)
Full-timeInternshipOn-siteStuttgart - Bosch Group
Mandatory Internship Automation of a Multi-Scale CAE Process Chain(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
PhD - Property Prediction for Embedded (AI) Systems(m/w/x)
Full-timeOn-siteJuniorRenningen - CARIAD SE
PhD Student - Virtual Simulation Models for LiDAR and Radar Sensors(m/w/x)
Full-timeTemporary contractOn-siteNot specifiedBerlin, Wolfsburg, Ingolstadt, Mönsheim, München
BOBosch
PhD - Lifetime Prediction for Metal Sawing Operations(m/w/x)
Schwieberdingen
Full-timeOn-site
Nejo AI Summary
Combining experimental measurements with finite element simulations to predict tool wear for oscillating multi-tools. Advanced Matlab and Python skills with Artemis data acquisition experience required. Research-focused environment with access to specialized vibration testing labs.
Requirements
- Master's degree in Engineering, Natural Sciences, or comparable
- Average to advanced Matlab and Python skills
- Experience with Artemis data acquisition systems
- Theoretical or practical vibration testing knowledge
- Beneficial knowledge of Ansys or Abaqus
- Passionate approach to complex problem solving
- Active teamwork and clear communication skills
- Passion for researching cutting mechanisms
- Enjoyment of advancing state of the art
- Very good written and spoken English
- Very good written and spoken German
Tasks
- Advance the understanding of sawing process cutting mechanisms
- Identify life-limiting factors like wear fracture and material fatigue
- Combine experimental measurements with finite element simulations
- Identify key parameters for cutting tool wear and operating life
- Predict tool service life using experimental and simulation data
- Develop concepts combining monitoring with predictive maintenance
- Collaborate with international teams to integrate changes into development
- Provide design input for state-of-the-art prototypes
- Analyze dynamics and vibration transmission to improve blade life
Education
Master's degree
Languages
English – Business FluentGerman – Business Fluent
Tools & Technologies
MatlabPythonArtemisAnsysAbaqus
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch 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.
About the Company
Bosch
Industry
Manufacturing
Description
Das Unternehmen entwickelt und produziert Einspritzsysteme für Großmotoren und alternative Kraftstoffe und vertreibt diese weltweit.
Not a perfect match?
- Fraunhofer-Gesellschaft
Studien-/Abschlussarbeit - Modellierung und Simulation des Beschichtungsprozesses von Sägewerkzeugen(m/w/x)
Full-timeWorking StudentOn-siteStuttgart - Fraunhofer-Gesellschaft
Studien-/Abschlussarbeit Drahterkennung zur Werkzeugpositionsbestimmung beim Drahtsägen(m/w/x)
Full-timeInternshipOn-siteStuttgart - Bosch Group
Mandatory Internship Automation of a Multi-Scale CAE Process Chain(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
PhD - Property Prediction for Embedded (AI) Systems(m/w/x)
Full-timeOn-siteJuniorRenningen - CARIAD SE
PhD Student - Virtual Simulation Models for LiDAR and Radar Sensors(m/w/x)
Full-timeTemporary contractOn-siteNot specifiedBerlin, Wolfsburg, Ingolstadt, Mönsheim, München