comlet Verteilte Systeme GmbH
Master-, Bachelorarbeiten und Praxisphase im Bereich Connectivity, Machine Learning, und Security(m/w/x)
Full-timeInternshipWith Homeoffice
Zweibrücken, Darmstadt
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FRFraunhofer-Gesellschaft
Master Thesis Machine Learning for retired Lithium-Ion Cell Sorting(m/w/x)
Darmstadt
Full-timeWorking StudentWith Home Office
AI/ML
Nejo AI Summary
Developing ML models for sorting retired Li-Ion cells using EIS data. Basic Python and ML library knowledge required. Up to 99% remote work, creative freedom.
Requirements
- Electrical Engineering, Mechatronics, Computer Science, or related fields
- Strong interest in machine learning
- Basic Python and ML library knowledge
- Basic electrochemistry and battery technology knowledge or willingness to learn
Tasks
- Conduct literature review on machine learning methods for battery cell classification
- Study provided EIS dataset
- Develop and train machine learning model for cell sorting
- Evaluate model performance on test data
- Investigate impact of different EIS data types on sorting accuracy
- Document results
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Flexible Working
- Flexible working conditions
- Up to 99% remote work
Diverse Work
- Individually tailored task
- Topical and practically relevant research topic
- Innovative and interdisciplinary project
Informal Culture
- Creative freedom
Sustainability Focus
- Circular economy relevance
Purpose-Driven Work
- Opportunity to actively participate
Other Benefits
- Insight into battery cell disassembly
- Insight into battery cell diagnostics
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
Master Thesis Machine Learning for retired Lithium-Ion Cell Sorting(m/w/x)
Darmstadt
Full-timeWorking StudentWith Home Office
AI/ML
Nejo AI Summary
Developing ML models for sorting retired Li-Ion cells using EIS data. Basic Python and ML library knowledge required. Up to 99% remote work, creative freedom.
Requirements
- Electrical Engineering, Mechatronics, Computer Science, or related fields
- Strong interest in machine learning
- Basic Python and ML library knowledge
- Basic electrochemistry and battery technology knowledge or willingness to learn
Tasks
- Conduct literature review on machine learning methods for battery cell classification
- Study provided EIS dataset
- Develop and train machine learning model for cell sorting
- Evaluate model performance on test data
- Investigate impact of different EIS data types on sorting accuracy
- Document results
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Flexible Working
- Flexible working conditions
- Up to 99% remote work
Diverse Work
- Individually tailored task
- Topical and practically relevant research topic
- Innovative and interdisciplinary project
Informal Culture
- Creative freedom
Sustainability Focus
- Circular economy relevance
Purpose-Driven Work
- Opportunity to actively participate
Other Benefits
- Insight into battery cell disassembly
- Insight into battery cell diagnostics
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?
- comlet Verteilte Systeme GmbH
Master-, Bachelorarbeiten und Praxisphase im Bereich Connectivity, Machine Learning, und Security(m/w/x)
Full-timeInternshipWith HomeofficeZweibrücken, Darmstadt - Fraunhofer-Gesellschaft
Masterarbeit zu zuverlässigkeitsbasierter Parameterauslegung(m/w/x)
Full-timeInternshipWith HomeofficeDarmstadt - PROFI Engineering Systems AG
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Full-timeWith HomeofficeExperiencedDarmstadt - Wingcopter GmbH
Senior Battery Systems Engineer(m/w/x)
Full-timeWith HomeofficeManagementWeiterstadt - COMPREDICT
MLOps Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedDarmstadt