PhD - Develop AI-Driven Control Algorithms for an Optimized V2X Operation for Future Energy Mar[...]

PhD – Develop AI-Driven Control Algorithms for an Optimized V2X Operation for Future Energy Markets Including Cost Efficiency and Battery Ageing

Join to apply for the PhD – Develop AI-Driven Control Algorithms for an Optimized V2X Operation for Future Energy Markets Including Cost Efficiency and Battery Ageing role at Bosch Homburg.

Job Description

The field of electric mobility (E-Mobility) is experiencing rapid growth, driven by increasing environmental concerns and technological advancements. The integration of Vehicle-to-Everything (V2X) technology is pivotal in this transformation, enabling seamless interaction between electric vehicles (EVs) and the power grid. This PhD project aims to address key challenges:

• Ensure fast, cost-effective, and sustainable charging solutions.
• Incorporate battery ageing into charging strategies for enhanced reliability and performance.
• Develop novel AI-driven control algorithms to optimize V2X charging strategies, considering multi-objective needs of energy markets, power grids, and end customers, while addressing battery ageing using an existing model enhanced with AI.
• Develop optimal approaches for integrating V2X technology into evolving energy markets, tackling challenges like high price volatility and high shares of renewable energy sources.

Candidate Profile

• Outstanding Master’s degree (or equivalent) in Technical Cybernetics, Electrical Engineering, Computer Science, Physics, Energy Technology, or related fields.
• Experience with battery systems and simulation (e.g., MATLAB/Simulink, Python), including aging processes.
• Strong background in data science with practical experience in processing large datasets.
• Knowledge and hands-on experience in AI and optimization frameworks such as PyTorch, TensorFlow.
• Proactive, responsible, analytical, and solution-oriented mindset with an entrepreneurial attitude.
• Proficiency in German and English.

Additional Details

• Seniority Level: Internship
• Employment Type: Full-time
• Job Function: Research, Analysis, IT
• Industry: Manufacturing

Note: The job posting appears active; no indications of expiration are present.

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