Stellenbeschreibung:

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

Full-time

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

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.

• You will ensure fast, cost-effective, and sustainable charging solutions.
• You will incorporate the aging of batteries into charging strategies for enhanced reliability and performance.
• You will develop novel AI-driven control algorithms to optimize V2X charging strategies. These algorithms will address the multi-objective needs of energy markets, power grids, and end customers, while crucially considering the aging of batteries. An existing battery aging model will be leveraged and further enhanced using AI for V2X-specific applications.
• Finally, you will develop optimal approaches for integrating V2X technology into evolving energy markets, addressing challenges posed by high price volatility and a significant share of distributed renewable energy sources.

Qualifications

• Education: Outstanding Master’s degree (or equivalent) in Technical Cybernetics, Electrical Engineering, Computer Science, Physics, Energy Technology, or a comparable field.
• Experience and Knowledge:
  • Battery systems and simulation: Proven experience with battery systems (including aging) and proficiency in simulation using industry-standard tools (e.g., MATLAB/Simulink, Python).
  • Data science: Strong background in data science with practical experience in processing and analyzing large datasets.
  • AI and optimization: Demonstrated knowledge and hands-on experience in Artificial Intelligence and optimization techniques, utilizing frameworks such as PyTorch, TensorFlow, and other common frameworks.
• Personality and Working Practice: You are proactive, able to take initiative, think analytically, and act responsibly in a solution-oriented manner. An entrepreneurial mindset is essential.

The final topic depends on your university.

Start: By prior agreement.

Please submit all relevant documents, including your curriculum vitae and certificates.

Diversity and inclusion are core to our culture. We welcome applications from all genders, ages, disabilities, religions, ethnic origins, and sexual identities.

Need further information about the job?
Benjamin Matthiss (Functional Department)
+49(152)52641904

Job Location

#J-18808-Ljbffr

NOTE / HINWEIS:

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