Fraunhofer-Gesellschaft
Abschlussarbeit „Batteriealterung: Ermittlung von kumulativen Alterungsindikatoren(m/w/x)
Part-timeWith HomeofficeExperienced
Freiburg im Breisgau
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FRFraunhofer-Gesellschaft
Thesis "Machine Learning-Based Kinetic Modeling of Methanol Synthesis"(m/w/x)
Freiburg im Breisgau
Part-timeWorking StudentWith Home Office
Green Job
AI/ML
Data Science
Nejo AI Summary
You will bridge the gap between chemical engineering and AI by developing ML-based kinetic models, ultimately comparing your findings against conventional methods to complete your thesis.
Requirements
- Studies in Data Science, Environmental Sciences, Chemical Engineering or comparable field
- Initial experience in machine learning and neural networks
- Expertise in programming and MATLAB or comparable language
- Advantageous experience with different optimisation algorithms
- Independent work planning, proactivity, and time management
- Teamwork skills and goal orientation in interdisciplinary environments
- Confident presentation skills and ability to convince others
- Very good English skills
Tasks
- Research methanol synthesis and reactor modelling fundamentals
- Learn the company's MATLAB-based simulation platform
- Develop concepts for embedding ML models into the platform
- Select approaches using simplified fitting campaigns
- Fit all available measurement data using selected models
- Compare conventional and ML-based model results
- Analyze strengths and weaknesses of both modeling approaches
- Present research results to the team
- Summarize all findings in a formal thesis
Education
Bachelor's degree
Languages
English – Business Fluent
Tools & Technologies
MATLABNeural networksOptimisation algorithms
Benefits
Flexible Working
- •Flexible working hours
- •Remote work options
Purpose-Driven Work
- •Insight into everyday research
Diverse Work
- •Experimental and theoretical work
Mentorship & Coaching
- •Professional supervision and feedback
Other Benefits
- •Teamwork experience
- •Equal opportunities and diversity
Team Events
- •After-work events
- •Annual employee parties
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
Thesis "Machine Learning-Based Kinetic Modeling of Methanol Synthesis"(m/w/x)
Freiburg im Breisgau
Part-timeWorking StudentWith Home Office
Green Job
AI/ML
Data Science
Nejo AI Summary
You will bridge the gap between chemical engineering and AI by developing ML-based kinetic models, ultimately comparing your findings against conventional methods to complete your thesis.
Requirements
- Studies in Data Science, Environmental Sciences, Chemical Engineering or comparable field
- Initial experience in machine learning and neural networks
- Expertise in programming and MATLAB or comparable language
- Advantageous experience with different optimisation algorithms
- Independent work planning, proactivity, and time management
- Teamwork skills and goal orientation in interdisciplinary environments
- Confident presentation skills and ability to convince others
- Very good English skills
Tasks
- Research methanol synthesis and reactor modelling fundamentals
- Learn the company's MATLAB-based simulation platform
- Develop concepts for embedding ML models into the platform
- Select approaches using simplified fitting campaigns
- Fit all available measurement data using selected models
- Compare conventional and ML-based model results
- Analyze strengths and weaknesses of both modeling approaches
- Present research results to the team
- Summarize all findings in a formal thesis
Education
Bachelor's degree
Languages
English – Business Fluent
Tools & Technologies
MATLABNeural networksOptimisation algorithms
Benefits
Flexible Working
- •Flexible working hours
- •Remote work options
Purpose-Driven Work
- •Insight into everyday research
Diverse Work
- •Experimental and theoretical work
Mentorship & Coaching
- •Professional supervision and feedback
Other Benefits
- •Teamwork experience
- •Equal opportunities and diversity
Team Events
- •After-work events
- •Annual employee parties
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?
- Fraunhofer-Gesellschaft
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Masterarbeit Bestimmung regionaler Netzaufnahmekapazitäten für Erneuerbare Energien(m/w/x)
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Part-timeWorking StudentWith HomeofficeFreiburg im Breisgau - Fraunhofer-Gesellschaft
Student:in Abschlussarbeit(m/w/x)
Part-timeInternshipWith HomeofficeFreiburg im Breisgau