Bosch is a worldwide leader for the Oscillating Multi Tools (OMTs) that are modular and can be used for a variety of machining tasks. We as the Center of Competence -Vibration arecurrently investigating predictive operational reliability and lifetime models for various type of saw blades for metal cutting that can be used with OMTs. To understand the sawingprocess and the underlying physics is a key aspect of our campaign.
- You will advance the understanding of cutting mechanisms in sawing processes and life-limiting factors such as wear fracture and material fatigue.
- Furthermore you will combine experimental measurements with finite element simulation techniques to identify key parameters for wear and operating life of cutting tools.
- Based on experimental and simulation data you will make reliable predictions about the service life of such tools.
- During your PhD you will develop a new concept to combine these techniques with monitoring and predictive maintenance approaches. You will work closely with an international team to integrate and evaluate these changes into the development process.
- In addition you will provide key input into the design and manufacture of state-of-the-art prototypes particularly in terms of dynamics and vibration transmission from the tool to the blade and cutting edge to significantly improve blade life.
- The supervising will be carried out in collaboration with Institute for Machine Tools Management University of Stuttgart.
Qualifications :
- Education: completed Masters degree in Engineering or Natural Sciences with a focus on Machine Dynamics Manufacturing Technology Structural Dynamics or Materials and Fatigue
- Experience and Knowledge: average to advanced programming skills (Matlab Python); experience with data acquisition systems (Artemis); theoretical and/or practical knowledge of vibration testing; knowledge of simulation tools (Ansys Abaqus) is beneficial
- Personality and Working Practice: you manage to tackle complex problems with passion and you actively contribute as a team player communicating your results clearly and convincingly
- Work Routine: regular visits to Switzerland to exchange ideas with the development team are part of your job
- Enthusiasm: you are passionate about researching and further developing cutting mechanisms and lifetime models and enjoy advancing the state of the art
- Languages: very good in English and German both written and spoken
Additional Information :
Start: by prior agreement
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need support during your application
Tamara Bont (Human Resources)
Need further information about the job
Christian Dindorf (Functional Department)
49 6
Nimish Pandiya (Functional Department)
49 152
Work #LikeABosch starts here: Apply now!
Remote Work :
No
Employment Type :
Full-time
Bosch is a worldwide leader for the Oscillating Multi Tools (OMTs) that are modular and can be used for a variety of machining tasks. We as the Center of Competence -Vibration arecurrently investigating predictive operational reliability and lifetime models for various type of saw blades for metal c...
Bosch is a worldwide leader for the Oscillating Multi Tools (OMTs) that are modular and can be used for a variety of machining tasks. We as the Center of Competence -Vibration arecurrently investigating predictive operational reliability and lifetime models for various type of saw blades for metal cutting that can be used with OMTs. To understand the sawingprocess and the underlying physics is a key aspect of our campaign.
- You will advance the understanding of cutting mechanisms in sawing processes and life-limiting factors such as wear fracture and material fatigue.
- Furthermore you will combine experimental measurements with finite element simulation techniques to identify key parameters for wear and operating life of cutting tools.
- Based on experimental and simulation data you will make reliable predictions about the service life of such tools.
- During your PhD you will develop a new concept to combine these techniques with monitoring and predictive maintenance approaches. You will work closely with an international team to integrate and evaluate these changes into the development process.
- In addition you will provide key input into the design and manufacture of state-of-the-art prototypes particularly in terms of dynamics and vibration transmission from the tool to the blade and cutting edge to significantly improve blade life.
- The supervising will be carried out in collaboration with Institute for Machine Tools Management University of Stuttgart.
Qualifications :
- Education: completed Masters degree in Engineering or Natural Sciences with a focus on Machine Dynamics Manufacturing Technology Structural Dynamics or Materials and Fatigue
- Experience and Knowledge: average to advanced programming skills (Matlab Python); experience with data acquisition systems (Artemis); theoretical and/or practical knowledge of vibration testing; knowledge of simulation tools (Ansys Abaqus) is beneficial
- Personality and Working Practice: you manage to tackle complex problems with passion and you actively contribute as a team player communicating your results clearly and convincingly
- Work Routine: regular visits to Switzerland to exchange ideas with the development team are part of your job
- Enthusiasm: you are passionate about researching and further developing cutting mechanisms and lifetime models and enjoy advancing the state of the art
- Languages: very good in English and German both written and spoken
Additional Information :
Start: by prior agreement
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need support during your application
Tamara Bont (Human Resources)
Need further information about the job
Christian Dindorf (Functional Department)
49 6
Nimish Pandiya (Functional Department)
49 152
Work #LikeABosch starts here: Apply now!
Remote Work :
No
Employment Type :
Full-time
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