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PhD Student AI Application Energy Management(m/w/x)
Developing AI-supported forecasting models for electricity prices and intelligent storage systems. Solid knowledge in machine learning and deep learning required. 35-hour week, 60% remote work option.
Anforderungen
- University degree qualifying for doctoral studies in computer science, engineering, mathematics, or comparable qualification
- Solid knowledge in data analysis, statistics, and AI methods, especially machine learning and deep learning
- Understanding of energy market structures and dynamics is desirable
- Strong initiative, team orientation, and structured working style
- English language level B2
- German language level C1
Aufgaben
- Develop AI-supported forecasting models for electricity prices, consumption, and generation
- Plan intelligent storage and power-to-X systems
- Simulate energy market scenarios
- Evaluate flexibility options in e-mobility
- Analyze the value of AI applications in the energy sector
- Design and test innovative AI approaches for complex energy problems
- Identify new AI application fields from electricity price forecasting to e-mobility flexibility
- Create a strategic concept for AI use in energy processes
- Lead practical digitalization and AI projects
- Support project integration into operational workflows
- Collaborate with a professor to define the doctoral topic
- Ensure supervision and topic confirmation from a qualified professor
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- data analysis
- statistics
- AI methods
- machine learning
- deep learning
Benefits
Flexibles Arbeiten
- Flexible working hours
- Remote work up to 60%
Mehr Urlaubstage
- 30 vacation days
- 24.12. and 31.12. off
Firmenwagen
- Vehicle purchase and leasing conditions
Weiterbildungsangebote
- Free seminars on scientific work
- Interdisciplinary qualification seminars
- Scientific exchange with other doctoral candidates within the Volkswagen Group
Karriere- und Weiterentwicklung
- Doctoral network participation
Sonstige Vorteile
- Scientific exchange with science representatives
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PhD Student AI Application Energy Management(m/w/x)
Developing AI-supported forecasting models for electricity prices and intelligent storage systems. Solid knowledge in machine learning and deep learning required. 35-hour week, 60% remote work option.
Anforderungen
- University degree qualifying for doctoral studies in computer science, engineering, mathematics, or comparable qualification
- Solid knowledge in data analysis, statistics, and AI methods, especially machine learning and deep learning
- Understanding of energy market structures and dynamics is desirable
- Strong initiative, team orientation, and structured working style
- English language level B2
- German language level C1
Aufgaben
- Develop AI-supported forecasting models for electricity prices, consumption, and generation
- Plan intelligent storage and power-to-X systems
- Simulate energy market scenarios
- Evaluate flexibility options in e-mobility
- Analyze the value of AI applications in the energy sector
- Design and test innovative AI approaches for complex energy problems
- Identify new AI application fields from electricity price forecasting to e-mobility flexibility
- Create a strategic concept for AI use in energy processes
- Lead practical digitalization and AI projects
- Support project integration into operational workflows
- Collaborate with a professor to define the doctoral topic
- Ensure supervision and topic confirmation from a qualified professor
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- data analysis
- statistics
- AI methods
- machine learning
- deep learning
Benefits
Flexibles Arbeiten
- Flexible working hours
- Remote work up to 60%
Mehr Urlaubstage
- 30 vacation days
- 24.12. and 31.12. off
Firmenwagen
- Vehicle purchase and leasing conditions
Weiterbildungsangebote
- Free seminars on scientific work
- Interdisciplinary qualification seminars
- Scientific exchange with other doctoral candidates within the Volkswagen Group
Karriere- und Weiterentwicklung
- Doctoral network participation
Sonstige Vorteile
- Scientific exchange with science representatives
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Volkswagen AG
Branche
EnergyAutomation
Beschreibung
CARIAD ist das Automotive-Software-Unternehmen der Volkswagen Group, das Softwareplattformen und digitale Kundenfunktionen entwickelt.
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