Dein persönlicher KI-Karriere-Agent
PhD - Lifetime Prediction for Metal Sawing Operations(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Matlab
- Python
- Artemis
- Ansys
- Abaqus
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PhD - Lifetime Prediction for Metal Sawing Operations(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Matlab
- Python
- Artemis
- Ansys
- Abaqus
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Bosch
Branche
Manufacturing
Beschreibung
Das Unternehmen entwickelt und produziert Einspritzsysteme für Großmotoren und alternative Kraftstoffe und vertreibt diese weltweit.
Noch nicht perfekt?
- Fraunhofer-Gesellschaft
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VollzeitWerkstudentnur vor OrtStuttgart - Bosch Group
Master Thesis Data-Efficient Hybrid Machine Learning for Robust Vibration System Prediction(m/w/x)
VollzeitPraktikumnur vor OrtRenningen - Bosch Group
PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing(m/w/x)
Vollzeitnur vor OrtBerufserfahrenRenningen - Bosch Group
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Vollzeitnur vor OrtKeine AngabeRenningen - Bosch Group
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