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Internship – Advanced Battery System Modeling and Algorithm Development(m/w/x)
Building battery algorithms for state estimation; modeling behavior with Equivalent Circuit Models; machine learning for SoC/SoH at global ICT solutions provider. Master’s or PhD in relevant field required; hands-on Python/R experience essential. Healthy meals in canteen; German and Mandarin language courses.
Anforderungen
- Master’s or PhD degree in Electrical Engineering, Chemical Engineering, Energy Systems, Battery Technology, Data Science, or related field
- Basic understanding of battery systems, energy storage technologies, or electrochemical principles
- Strong interest in battery modeling, state estimation (SoC/SoH), and degradation mechanisms
- Hands-on experience with Python or R for scientific computing and data analytics
- Strong analytical mindset and willingness to learn data analysis methods
- Good communication and teamwork skills to collaborate in a multidisciplinary environment
- Fluency in written and spoken English
Aufgaben
- Assist in developing battery algorithms focused on state estimation
- Support modeling battery behavior using Equivalent Circuit Models
- Preprocess and analyze experimental and field datasets
- Visualize datasets to ensure high-quality input for models
- Develop machine learning models for SoC/SoH estimation
- Implement statistical models for degradation prediction
- Create models for anomaly detection
- Simulate and benchmark algorithms in Python or similar environments
- Contribute to technical documentation and reports
- Summarize methods, results, and insights in presentations
- Collaborate with R&D teams to align on project milestones
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- R
Benefits
Gratis oder Vergünstigte Mahlzeiten
- Healthy meals in canteen
Weiterbildungsangebote
- Broad range of training opportunities
- Language courses in German and Mandarin
Lockere Unternehmenskultur
- Diverse and welcoming environment
Sinnstiftende Arbeit
- Self-responsible work
Noch nicht perfekt?
- Huawei Research Center Germany & AustriaVollzeitPraktikumnur vor OrtNürnberg
- Huawei
Intern - Energy Management System Development & Battery Optimization(m/w/x)
VollzeitPraktikumnur vor OrtNürnberg - Huawei Research Center Germany & Austria
Advanced Battery System Modeling and Algorithm Development Assistant - Leased Labor(m/w/x)
VollzeitFreelancenur vor OrtKeine AngabeNürnberg - Huawei Research Center Germany & Austria
Intern - Power Systems and Grid-tied Inverter Control(m/w/x)
VollzeitPraktikumnur vor OrtNürnberg - Huawei Research Center Germany & Austria
Energy Management System (EMS) Engineer – BESS Applications(m/w/x)
Vollzeitnur vor OrtSeniorNürnberg
Internship – Advanced Battery System Modeling and Algorithm Development(m/w/x)
Building battery algorithms for state estimation; modeling behavior with Equivalent Circuit Models; machine learning for SoC/SoH at global ICT solutions provider. Master’s or PhD in relevant field required; hands-on Python/R experience essential. Healthy meals in canteen; German and Mandarin language courses.
Anforderungen
- Master’s or PhD degree in Electrical Engineering, Chemical Engineering, Energy Systems, Battery Technology, Data Science, or related field
- Basic understanding of battery systems, energy storage technologies, or electrochemical principles
- Strong interest in battery modeling, state estimation (SoC/SoH), and degradation mechanisms
- Hands-on experience with Python or R for scientific computing and data analytics
- Strong analytical mindset and willingness to learn data analysis methods
- Good communication and teamwork skills to collaborate in a multidisciplinary environment
- Fluency in written and spoken English
Aufgaben
- Assist in developing battery algorithms focused on state estimation
- Support modeling battery behavior using Equivalent Circuit Models
- Preprocess and analyze experimental and field datasets
- Visualize datasets to ensure high-quality input for models
- Develop machine learning models for SoC/SoH estimation
- Implement statistical models for degradation prediction
- Create models for anomaly detection
- Simulate and benchmark algorithms in Python or similar environments
- Contribute to technical documentation and reports
- Summarize methods, results, and insights in presentations
- Collaborate with R&D teams to align on project milestones
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- R
Benefits
Gratis oder Vergünstigte Mahlzeiten
- Healthy meals in canteen
Weiterbildungsangebote
- Broad range of training opportunities
- Language courses in German and Mandarin
Lockere Unternehmenskultur
- Diverse and welcoming environment
Sinnstiftende Arbeit
- Self-responsible work
Über das Unternehmen
Huawei Research Center Germany & Austria
Branche
IT
Beschreibung
Huawei is a leading global information and communications technology (ICT) solutions provider, committed to developing the future information society.
Noch nicht perfekt?
- Huawei Research Center Germany & Austria
Internship: Energy Management System Development & Battery Optimization(m/w/x)
VollzeitPraktikumnur vor OrtNürnberg - Huawei
Intern - Energy Management System Development & Battery Optimization(m/w/x)
VollzeitPraktikumnur vor OrtNürnberg - Huawei Research Center Germany & Austria
Advanced Battery System Modeling and Algorithm Development Assistant - Leased Labor(m/w/x)
VollzeitFreelancenur vor OrtKeine AngabeNürnberg - Huawei Research Center Germany & Austria
Intern - Power Systems and Grid-tied Inverter Control(m/w/x)
VollzeitPraktikumnur vor OrtNürnberg - Huawei Research Center Germany & Austria
Energy Management System (EMS) Engineer – BESS Applications(m/w/x)
Vollzeitnur vor OrtSeniorNürnberg