PhD - Develop AI-Driven Control Algorithms for an Optimized V2X Operation for Future Energy Markets Including Cost Efficiency and Battery Ageing
PhD - Develop AI-Driven Control Algorithms for an Optimized V2X Operation for Future Energy Markets Including Cost Efficiency and Battery Ageing
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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.
- 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 crucially 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 markets. This includes addressing challenges posed by high price volatility and a significant share of distributed renewable energy sources.
Qualifications :
- Education: outstanding Masters 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 :
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)
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
