Electrolyzer Innovation Leader

1 week ago

nadiad, India beBeeArtificialintelligence Full time

We are seeking an accomplished Machine Learning Principal Scientist to drive innovation in green hydrogen technologies. Key Responsibilities: Develop and deploy physics-informed machine learning models that integrate electrochemical principles with AI/ML for accurate prediction of stack behavior. Build degradation models to predict lifetime performance, failure modes, and durability of electrolyzer stacks and components. Apply advanced ML techniques (graph neural networks, reinforcement learning, VAEs, GANs, diffusion models) for material discovery and process optimization. Approximate complex physical, chemical, and electrochemical processes through hybrid ML–physics frameworks. Collaborate with material scientists, electrochemists, and engineers to integrate AI-driven insights into design, testing, and scale-up of electrolyzer technology. Stay at the forefront of advances in AI/ML, computational chemistry, and green energy, and translate them into practical R&D applications.

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