Bachelor’s or Master’s degree in Control Engineering, Automation, Computer Science, or a related field, with a solid foundation in control theory and mathematical modeling.
Required Previous Experiences
Hands-on experience with Dynamic Programming and Model Predictive Control in embedded systems.