Die KI-Suchmaschine für Jobs
PhD - Develop AI-Driven Control Algorithms for an Optimized V2X Operation for Future Energy Markets Including Cost Efficiency and Battery Ageing(m/w/x)
Beschreibung
You will develop AI-driven algorithms to optimize V2X charging, focusing on cost efficiency and battery aging while addressing challenges in energy markets and integrating renewable sources.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Outstanding Master’s degree in Technical Cybernetics
- •Proven experience with battery systems
- •Strong background in data science
- •Demonstrated knowledge in AI and optimization
- •Proactive and solution-oriented mindset
- •Good in German and English
Ausbildung
Aufgaben
- •Ensure fast and cost-effective charging solutions.
- •Incorporate battery ageing into charging strategies.
- •Develop AI-driven control algorithms for V2X charging.
- •Optimize charging strategies for energy markets and power grids.
- •Enhance existing battery ageing models using AI.
- •Integrate V2X technology into evolving energy markets.
- •Address challenges of price volatility and renewable energy.
Tools & Technologien
Sprachen
Deutsch – verhandlungssicher
Englisch – verhandlungssicher
- Bosch GroupVollzeitnur vor OrtJuniorRenningen
- Bosch Group
PhD - Electrochemical Interface Engineering of Advanced Liquid Alkaline Water Electrolysis(m/w/x)
Vollzeitnur vor OrtJuniorRenningen - MAHLE International GmbH
PhD AI Product Innovations(m/w/x)
Vollzeitnur vor OrtBerufserfahrenStuttgart - Bosch Group
Thesis in Development of a Learning Based Compositional Electrical Drive Model(m/w/x)
VollzeitPraktikumnur vor OrtRenningen - Bosch Group
PhD – Generative Models for Closed-loop Synthesis(m/w/x)
VollzeitWerkstudentnur vor OrtRenningen
PhD - Develop AI-Driven Control Algorithms for an Optimized V2X Operation for Future Energy Markets Including Cost Efficiency and Battery Ageing(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
You will develop AI-driven algorithms to optimize V2X charging, focusing on cost efficiency and battery aging while addressing challenges in energy markets and integrating renewable sources.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Outstanding Master’s degree in Technical Cybernetics
- •Proven experience with battery systems
- •Strong background in data science
- •Demonstrated knowledge in AI and optimization
- •Proactive and solution-oriented mindset
- •Good in German and English
Ausbildung
Aufgaben
- •Ensure fast and cost-effective charging solutions.
- •Incorporate battery ageing into charging strategies.
- •Develop AI-driven control algorithms for V2X charging.
- •Optimize charging strategies for energy markets and power grids.
- •Enhance existing battery ageing models using AI.
- •Integrate V2X technology into evolving energy markets.
- •Address challenges of price volatility and renewable energy.
Tools & Technologien
Sprachen
Deutsch – verhandlungssicher
Englisch – verhandlungssicher
Über das Unternehmen
Bosch Group
Branche
IT
Beschreibung
Bosch shapes the future through high-quality technologies and services, fostering innovation and enhancing people's lives. The company values teamwork, growth, and inspiration.
- Bosch Group
PhD - Property Prediction for Embedded (AI) Systems(m/w/x)
Vollzeitnur vor OrtJuniorRenningen - Bosch Group
PhD - Electrochemical Interface Engineering of Advanced Liquid Alkaline Water Electrolysis(m/w/x)
Vollzeitnur vor OrtJuniorRenningen - MAHLE International GmbH
PhD AI Product Innovations(m/w/x)
Vollzeitnur vor OrtBerufserfahrenStuttgart - Bosch Group
Thesis in Development of a Learning Based Compositional Electrical Drive Model(m/w/x)
VollzeitPraktikumnur vor OrtRenningen - Bosch Group
PhD – Generative Models for Closed-loop Synthesis(m/w/x)
VollzeitWerkstudentnur vor OrtRenningen