Fraunhofer-Gesellschaft
Master's thesis "MEA Development for Direct Air Capture-to-Ethylene Conversion"(m/w/x)
Full-timeInternshipWith Homeoffice
Oberhausen
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FRFraunhofer Institute for Environmental, Safety, and Energy Technology UMSICHT
Master's thesis 'Development of an ML-based framework for the design of radial compressors'(m/w/x)
Oberhausen
Full-timeWith Home Office
Green Job
AI/ML
Nejo AI Summary
Developing an ML-based framework for radial compressor design, integrating CAE and simulation tools. Python programming and turbomachinery knowledge required. Flexible hours, mobile and on-site work.
Requirements
- Ongoing master's studies in mechanical, energy, or process engineering
- Solid knowledge of turbomachinery/fluid machinery
- Programming experience in Python
- Independent work ability
- Interest in machine learning (ML)
Tasks
- Develop and integrate CAE interface solutions
- Link simulation and design tools into optimization processes
- Focus on fluid dynamics and structural mechanics simulations
- Design and develop turbomachinery and flow-through components
- Research ML-based approaches for turbo-machine components
- Develop an overall concept for an ML-based design framework
- Collect and analyze existing CFD data from previous designs
- Identify and resolve inconsistencies in CFD data
- Process data into a consistent, usable training dataset
- Develop an automated workflow for building the ML model
- Evaluate the reliability and robustness of the ML model
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Machine learning (ML)
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Mobile and on-site work
- Diversity and inclusion
- Comprehensive onboarding
- Good support
- Keynote speeches
Informal Culture
- Open-minded team
- Cooperative teamwork
Learning & Development
- Combine studies with practical experience
- Training
Career Advancement
- Networking opportunities
- Career development support
Healthcare & Fitness
- Health offers
Mental Health Support
- Well-being support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer Institute for Environmental, Safety, and Energy Technology UMSICHT 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 Institute for Environmental, Safety, and Energy Technology UMSICHT
Master's thesis 'Development of an ML-based framework for the design of radial compressors'(m/w/x)
Oberhausen
Full-timeWith Home Office
Green Job
AI/ML
Nejo AI Summary
Developing an ML-based framework for radial compressor design, integrating CAE and simulation tools. Python programming and turbomachinery knowledge required. Flexible hours, mobile and on-site work.
Requirements
- Ongoing master's studies in mechanical, energy, or process engineering
- Solid knowledge of turbomachinery/fluid machinery
- Programming experience in Python
- Independent work ability
- Interest in machine learning (ML)
Tasks
- Develop and integrate CAE interface solutions
- Link simulation and design tools into optimization processes
- Focus on fluid dynamics and structural mechanics simulations
- Design and develop turbomachinery and flow-through components
- Research ML-based approaches for turbo-machine components
- Develop an overall concept for an ML-based design framework
- Collect and analyze existing CFD data from previous designs
- Identify and resolve inconsistencies in CFD data
- Process data into a consistent, usable training dataset
- Develop an automated workflow for building the ML model
- Evaluate the reliability and robustness of the ML model
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Machine learning (ML)
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Mobile and on-site work
- Diversity and inclusion
- Comprehensive onboarding
- Good support
- Keynote speeches
Informal Culture
- Open-minded team
- Cooperative teamwork
Learning & Development
- Combine studies with practical experience
- Training
Career Advancement
- Networking opportunities
- Career development support
Healthcare & Fitness
- Health offers
Mental Health Support
- Well-being support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer Institute for Environmental, Safety, and Energy Technology UMSICHT 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Fraunhofer Institute for Environmental, Safety, and Energy Technology UMSICHT
Industry
Research
Description
Fraunhofer-Gesellschaft is a leading organization for application-oriented research, developing pioneering technologies for economy and society. Applied research in Circular Economy, Carbon Management, Green Hydrogen and Local Energy Systems contributes to UN Sustainable Development Goals.
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