Die KI-Suchmaschine für Jobs
Internship Simulation & Optimization of Energy Systems(m/w/x)
Simulating V2H/V2G charging scenarios and optimizing strategies for energy systems, analyzing battery aging processes at technology developer. Very good Python knowledge with NumPy, Pandas, SciPy, scikit-learn experience required. Hands-on feature design involvement.
Anforderungen
- Studies in electrical engineering, energy engineering, cybernetics, computer science or comparable
- Very good knowledge of Python
- Experience with NumPy, Pandas, SciPy, and scikit-learn
- Proficiency in MATLAB for modeling and simulation
- Ideally initial experience in battery modeling
- Foundational understanding of lithium-ion battery aging
- Understanding of energy system optimization and simulation
- Experience with version control systems like Git
- High motivation and independent working style
- Demonstrated initiative for project success
- Ability to collaborate independently and in teams
- Office attendance
Aufgaben
- Simulate various charging scenarios including V2H and V2G
- Optimize charging strategies based on market and climate conditions
- Analyze battery aging processes to improve lifespan
- Conduct comprehensive data analyses and evaluations
- Participate in the design of new features
- Program and implement new features using Python
- Perform software tests and document results
Ausbildung
- Abgeschlossene Berufsausbildung
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- Pandas
- SciPy
- scikit-learn
- MATLAB
- Git
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Praktikum Software-Entwicklung & Automatisierung. Fahrzeugpositionierung, E-Mobility, Park & Charge(m/w/x)
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Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
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Internship Simulation & Optimization of Energy Systems(m/w/x)
Simulating V2H/V2G charging scenarios and optimizing strategies for energy systems, analyzing battery aging processes at technology developer. Very good Python knowledge with NumPy, Pandas, SciPy, scikit-learn experience required. Hands-on feature design involvement.
Anforderungen
- Studies in electrical engineering, energy engineering, cybernetics, computer science or comparable
- Very good knowledge of Python
- Experience with NumPy, Pandas, SciPy, and scikit-learn
- Proficiency in MATLAB for modeling and simulation
- Ideally initial experience in battery modeling
- Foundational understanding of lithium-ion battery aging
- Understanding of energy system optimization and simulation
- Experience with version control systems like Git
- High motivation and independent working style
- Demonstrated initiative for project success
- Ability to collaborate independently and in teams
- Office attendance
Aufgaben
- Simulate various charging scenarios including V2H and V2G
- Optimize charging strategies based on market and climate conditions
- Analyze battery aging processes to improve lifespan
- Conduct comprehensive data analyses and evaluations
- Participate in the design of new features
- Program and implement new features using Python
- Perform software tests and document results
Ausbildung
- Abgeschlossene Berufsausbildung
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- Pandas
- SciPy
- scikit-learn
- MATLAB
- Git
Über das Unternehmen
Bosch Group
Branche
Engineering
Beschreibung
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
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Internship in Hardware Development, Validation, and Simulation, E-Mobility, Wireless Charging(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - MAHLE International GmbH
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