Fraunhofer-Gesellschaft
Student assistant: Physics-based Machine Learning for Process Optimization in Machining Domain(m/w/x)
Part-timeWorking StudentOn-site
Aachen
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FRFraunhofer-Gesellschaft
Student assistant: FEM Simulation and Programming(m/w/x)
Aachen
Part-timeWorking StudentOn-site
Nejo AI Summary
Enhancing FEM simulation model accuracy and post-processing results using Python at applied research organization with 76 institutes. Advanced Python and basic Fortran programming skills, plus basic FEM simulation tool experience required. Opportunity to write thesis, flexible working hours, and state-of-the-art machinery.
Requirements
- Studying Computational Engineering, Mechanical Engineering, Simulation Sciences, or comparable subject
- Advanced programming competence in Python and basic competence in Fortran
- Basic experience in FEM simulation tools e.g., ABAQUS or ANSYS
- Good analytical skills and enthusiasm for interdisciplinary project work
- Initiative, excellent communication skills, and passion for teamwork
Tasks
- Support the team in enhancing FEM simulation model accuracy
- Post-process simulation results using Python
- Perform programming, data analysis, and visualization in Python
- Conduct numerical modeling and programming for model optimization and machine learning
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Fortran
- ABAQUS
- ANSYS
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Opportunity to write thesis
Modern Equipment
- State-of-the-art machinery
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: FEM Simulation and Programming(m/w/x)
Aachen
Part-timeWorking StudentOn-site
Nejo AI Summary
Enhancing FEM simulation model accuracy and post-processing results using Python at applied research organization with 76 institutes. Advanced Python and basic Fortran programming skills, plus basic FEM simulation tool experience required. Opportunity to write thesis, flexible working hours, and state-of-the-art machinery.
Requirements
- Studying Computational Engineering, Mechanical Engineering, Simulation Sciences, or comparable subject
- Advanced programming competence in Python and basic competence in Fortran
- Basic experience in FEM simulation tools e.g., ABAQUS or ANSYS
- Good analytical skills and enthusiasm for interdisciplinary project work
- Initiative, excellent communication skills, and passion for teamwork
Tasks
- Support the team in enhancing FEM simulation model accuracy
- Post-process simulation results using Python
- Perform programming, data analysis, and visualization in Python
- Conduct numerical modeling and programming for model optimization and machine learning
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Fortran
- ABAQUS
- ANSYS
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Opportunity to write thesis
Modern Equipment
- State-of-the-art machinery
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.
Not a perfect match?
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Student assistant: Physics-based Machine Learning for Process Optimization in Machining Domain(m/w/x)
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Part-timeOn-siteNot specifiedAachen - Fraunhofer-Gesellschaft
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