Lead Researcher - Advanced Control Systems

Overview

Lead Researcher to spearhead advanced controls development for energy systems within GE Vernova's Advanced Research organization, providing technical direction and mentorship to engineers and researchers.

What you'll do

• Lead the design, development, and deployment of advanced control strategies including model based control (MBC), adaptive control, robust control, and nonlinear control for complex energy systems.
• Architect control system frameworks for dynamic systems, ensuring stability, performance, scalability, and seamless integration with hardware and software platforms.
• Lead system modelling, simulation, and hardware-in-the-loop (HIL) testing to validate and refine control algorithms before field deployment.
• Drive the application of signal processing techniques for sensor data conditioning, state estimation, and fault detection to support control system performance.
• Direct the analysis of complex operational datasets to inform control design decisions and guide the development of data-driven control and optimization algorithms.
• Lead the integration of machine learning and AI techniques with classical control methods to develop intelligent, self-tuning control systems.
• Oversee the development of predictive models, digital twins, and diagnostics tools to enhance system reliability and control performance.
• Lead project planning, manage timelines, deliverables, and technical risks, ensuring alignment with business goals and stakeholder expectations.
• Champion innovation by staying at the forefront of advancements in control theory, real-time optimization, and AI/ML for controls, and foster a culture of continuous learning through literature review, conference participation, and internal knowledge sharing.

What you'll need

• PhD from a reputed institution with 5+ years' experience, or a master's degree with 8+ years' experience in control systems engineering, controls development, or a closely related discipline.
• Deep expertise in advanced control theory and design, including model predictive control, adaptive control, robust control, state estimation (e.g., Kalman filtering, extended Kalman filters, unscented Kalman filters), and real-time optimization, with demonstrated ability to apply them to industrial-scale systems.
• Strong understanding of signal processing fundamentals and their application to control systems, including filtering, spectral analysis, and sensor fusion techniques such as Kalman-based estimation methods.
• Proficiency in programming languages and tools commonly used in controls development, such as MATLAB/Simulink, Python, and C/C++, with experience in rapid prototyping and code generation for embedded controllers.
• Experience with simulation environments, hardware-in-the-loop testing, and real-time control platforms.
• Familiarity with software development best practices, including version control (e.g., Git), agile methodologies, and code review processes.
• Excellent problem-solving skills and ability to think critically and creatively.
• Proven leadership and communication skills with the ability to influence cross-functional teams and present to senior stakeholders.
• Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility, with a track record of translating control algorithms from research into production-ready deployments.

Details

• Location: Bengaluru, India.
• Relocation assistance provided.