Accelerate innovation in the electric mobility space by developing cutting-edge AI-driven control algorithms for V2X operations.
The goal is to optimize charging strategies, ensure cost efficiency, and prolong battery life. To achieve this, you will leverage industry-standard tools like MATLAB/Simulink and Python for simulation, as well as utilize frameworks such as PyTorch and TensorFlow for Artificial Intelligence and optimization techniques.
Key responsibilities include:
* Developing novel AI-driven control algorithms to optimize V2X charging strategies
* Ensuring fast, cost-effective, and sustainable charging solutions
* Integrating Vehicle-to-Everything (V2X) technology into evolving energy markets
To be successful in this role, you will require:
* Outstanding Master's degree in Technical Cybernetics, Electrical Engineering, Computer Science, Physics, Energy Technology, or comparable field
* Proven experience with battery systems and simulation using industry-standard tools
* Strong background in data science with practical experience in processing and analyzing large datasets
* Knowledge of Artificial Intelligence and optimization techniques, utilizing frameworks such as PyTorch, TensorFlow, and other common optimization frameworks
As a valued member of our team, you can expect:
* Flexible working arrangements
* Wide range of health and sports activities
* Intermediary service for childcare services
* Discounts for employees
* Space for creative work
* Social counselling and intermediary service for care services