Fraunhofer-Gesellschaft
Student assistant: FEM Simulation and Programming(m/w/x)
Part-timeWorking StudentOn-site
Aachen
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FRFraunhofer-Gesellschaft
Student assistant: Physics-based Machine Learning for Process Optimization in Machining Domain(m/w/x)
Aachen
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Development of ML algorithms for dynamic phenomena in milling processes at research organization with 76 institutes. Solid Python or C++ programming skills required. Flexible working hours, access to state-of-the-art machine park.
Requirements
- Studies in Mechanical Engineering, Computer Science, Mechatronics or comparable subject
- Solid background in programming (Python or C++)
- Experience with machining processes or ML approaches (advantageous)
- High degree of motivation, initiative, and independence
- Good language skills in German and/or English
Tasks
- Develop machine learning algorithms for milling processes
- Implement algorithms to model dynamic phenomena
- Analyze dynamic phenomena in milling processes
- Explore Physics-Informed and Physics-Guided Machine Learning
- Apply Physics-Informed and Physics-Guided Machine Learning
- Design cloud-based microservices for industrial manufacturing
- Develop cloud-based microservices for industrial manufacturing
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- C++
- ML approaches
Benefits
Flexible Working
- Flexible working
Diverse Work
- Innovative research projects
- Diverse and adaptable tasks
Other Benefits
- Practical knowledge implementation
- Edge cloud systems
- Practice-oriented thesis opportunity
Modern Equipment
- State-of-the-art machine park
- 5G infrastructure
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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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FRFraunhofer-Gesellschaft
Student assistant: Physics-based Machine Learning for Process Optimization in Machining Domain(m/w/x)
Aachen
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Development of ML algorithms for dynamic phenomena in milling processes at research organization with 76 institutes. Solid Python or C++ programming skills required. Flexible working hours, access to state-of-the-art machine park.
Requirements
- Studies in Mechanical Engineering, Computer Science, Mechatronics or comparable subject
- Solid background in programming (Python or C++)
- Experience with machining processes or ML approaches (advantageous)
- High degree of motivation, initiative, and independence
- Good language skills in German and/or English
Tasks
- Develop machine learning algorithms for milling processes
- Implement algorithms to model dynamic phenomena
- Analyze dynamic phenomena in milling processes
- Explore Physics-Informed and Physics-Guided Machine Learning
- Apply Physics-Informed and Physics-Guided Machine Learning
- Design cloud-based microservices for industrial manufacturing
- Develop cloud-based microservices for industrial manufacturing
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- C++
- ML approaches
Benefits
Flexible Working
- Flexible working
Diverse Work
- Innovative research projects
- Diverse and adaptable tasks
Other Benefits
- Practical knowledge implementation
- Edge cloud systems
- Practice-oriented thesis opportunity
Modern Equipment
- State-of-the-art machine park
- 5G infrastructure
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
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