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

Stellenbeschreibung:

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.