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Internship - Advanced Modelling of Low Temperature Electrolysers(m/w/x)
Description
You will bridge the gap between science and industry by developing advanced electrolyser models, using data assimilation and Bayesian tools to ensure high-quality performance and design studies.
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Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Current enrollment as University student
- •Mandatory study of Hydrogen Technologies
- •Strong organizational and communication skills
- •Proficiency in Microsoft Office Suite
- •Independent and team-oriented work style
- •Interest in energy research and sustainability
- •Proficiency in Python and Modelica
Education
Tasks
- •Model low temperature electrolysers
- •Study how model parameters influence system behavior
- •Analyze how uncertainties propagate through models
- •Explore data assimilation tools like ADAO
- •Apply Bayesian approaches for parameter estimation
- •Conduct detailed uncertainty analysis
- •Develop well-calibrated and trustworthy models
- •Perform performance analysis and design studies
Tools & Technologies
Languages
English – Business Fluent
Benefits
Purpose-Driven Work
- •Impactful research projects
Informal Culture
- •International and diverse team
Startup Environment
- •Local and international networks
- Fraunhofer-GesellschaftFull-timeInternshipOn-siteKarlsruhe
- EIfER Europäisches Institut für Energieforschung EDF-KIT EWIV
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Internship - Advanced Modelling of Low Temperature Electrolysers(m/w/x)
The AI Job Search Engine
Description
You will bridge the gap between science and industry by developing advanced electrolyser models, using data assimilation and Bayesian tools to ensure high-quality performance and design studies.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Current enrollment as University student
- •Mandatory study of Hydrogen Technologies
- •Strong organizational and communication skills
- •Proficiency in Microsoft Office Suite
- •Independent and team-oriented work style
- •Interest in energy research and sustainability
- •Proficiency in Python and Modelica
Education
Tasks
- •Model low temperature electrolysers
- •Study how model parameters influence system behavior
- •Analyze how uncertainties propagate through models
- •Explore data assimilation tools like ADAO
- •Apply Bayesian approaches for parameter estimation
- •Conduct detailed uncertainty analysis
- •Develop well-calibrated and trustworthy models
- •Perform performance analysis and design studies
Tools & Technologies
Languages
English – Business Fluent
Benefits
Purpose-Driven Work
- •Impactful research projects
Informal Culture
- •International and diverse team
Startup Environment
- •Local and international networks
About the Company
EIfER Europäisches Institut für Energieforschung EDF-KIT EWIV
Industry
EnergyAutomation
Description
The company drives climate solutions where science meets industry.
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