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

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application!

Employment type: Limited Working hours: Full-Time Joblocation: Renningen 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 as well as sustainable charging solutions. In addition, you corprate the ageing 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 endcustomers, while crucial considering the ageing of batteries. An existing battery ageing model will be leveraged and further enhanced using AI for V2X-specific applications. Last but not least, you will develop optimal approaches for integrating V2X technology into evolving energy. This includes addressing challenges posed by high price volatility and a significant share of distributed renewable energy sources.

Education: outstanding Master's degree (or equivalent) in Technical Cybernetics, Electrical Engineering, Computer Science, Physics, Energy Technology or comparable 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 background in data science with practical experience in processing 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 optimization frameworks

Personality and Working Practice: you are proactive and therefore a valued team member; you are able to take initiative and think analytically; you are aware of what it means to take responsibility and act consistently in a solution-oriented manner; you have an entrepreneurial mindset Languages: good in German and English

Work-life balance: Flexible working in terms of time, place and working model. Health & Sports: Wide range of health and sports activities. Childcare: Intermediary service for childcare services. Employee discounts: Discounts for employees. Room for creativity: Space for creative work. In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan. JOBV1_EN