Die Robert Bosch GmbH in Renningen sucht einen motivierten PhD-Kandidaten zur Entwicklung von KI-gesteuerten Regelalgorithmen für einen optimierten V2X-Betrieb in zukünftigen Energiemärkten. Der Fokus liegt auf Kosteneffizienz und Batterielebensdauer. Das Projekt umfasst die Entwicklung von Algorithmen zur Optimierung von V2X-Ladestrategien unter Berücksichtigung der Bedürfnisse von Energiemärkten, Stromnetzen und Endkunden. Die Integration von V2X-Technologie in sich entwickelnde Energiemärkte stellt einen weiteren Schwerpunkt dar. Gesucht wird ein proaktiver Teamplayer mit starkem Hintergrund in Datenscience, KI und Optimierung.
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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 tackle significant challenges in this evolving landscape.
- You will ensure the development of fast, cost-effective, and sustainable charging solutions.
- You will incorporate battery ageing models into charging strategies to enhance reliability and performance.
- You will spearhead the development of innovative AI-driven control algorithms to optimize V2X charging strategies, addressing the multi-faceted needs of energy markets, power grids, and end-customers, while crucially considering battery ageing. An existing battery ageing model will be leveraged and enhanced using AI for V2X-specific applications.
- You will develop optimal approaches for integrating V2X technology into the 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 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: 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 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
Additional Information
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The final topic depends on your university.
Start: by prior agreement
Please submit all relevant documents (incl. curriculum vitae, certificates).
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need support during your application?
Sarah Schneck (Human Resources)
+49(162)7125662
Need further information about the job?
Benjamin Matthiss (Functional Department)
+49(152) 52641904... [Vollständig anzeigen]