As a member of the Control Team, this role contributes to the development of next-generation control algorithms and engineering tools, while also supporting customers with deep technical expertise across the company solutions.
Requirements: M.Sc.in Mechatronics/Autonomous Systems/Robotics/Mechanical Engineering/Aeronautical Engineering, or a closely related discipline.
Proven experience in data -driven algorithm development, with an advantage for experience on real-world time-series data.
Strong foundation in Control Theory
Solid knowledge in at least two of the following areas:
o Neural Networks Architectures (RNN/CNN/PINN),
o Hyperparameters Optimization,
o Feature Engineering,
o Optimization Methods,
o Reinforcement Learning
o Real-Time Learning/Estimation
Proficiency in at least two programming environments: C / C ++, Python, MATLAB / Simulink.
Ability to design algorithms from the ground up, as well as effectively utilize modern open-source ML and control libraries.
Strong analytical and problem-solving skills.
Fluent in English, both written and spoken.
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