Research Engineer: AI/ML enhanced control engineering
Robert Bosch GmbHMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Analyze, model, and simulate dynamic and uncertain systems to develop secure AI/ML enhanced control engineering solutions.
Improve model-based control concepts using data-based methods for constrained linear, nonlinear, and distributed systems with uncertainties.
Maintain customer interaction to prepare solution strategies and minimum viable software products aligned with product-specific requirements.
Minimum Requirements
3+ years of relevant work experience.
MS/MTech or PhD from top Indian (IITs, IISc) or international institutes in Electronics, Electrical, Mechanical, Mechatronics, Cybernetics, Aerospace, or Computer Science Engineering.
Strong knowledge of modern control theory including Lyapunov stability analysis, optimal control (LQR/LQG), adaptive control, robust control.
Proficient programming skills in Python and experience with MATLAB and Simulink for simulations.
Ideal Candidate Profile
Experience combining AI/ML methods (deep learning, Gaussian process regression, ensemble methods) with control engineering for uncertain dynamic systems.
Ability to translate academic and industrial research into applied product solutions under real-world constraints.
Skilled in systems thinking and numerical methods related to ODEs, with strong presentation and communication skills.