Opportunity Description
What you will do
Design, develop, and deploy reinforcement learning solutions for real-world energy applications such as production optimization, process control, supply chain scheduling, drilling optimization, and resource allocation.Formulate sequential decision problems by defining state spaces, action spaces, reward structures, transition dynamics, and operational constraints with domain experts.Develop RL agents using model-free methods (, PPO, SAC, TD3, DQN where appropriate) and model-based approaches, selecting methods based on problem requirements, safety, and data availability.Build and use simulation environments and digital twins for offline training, policy evaluation, and validation before real-world deployment.Apply safe and constrained RL techniques to ensure agents operate within operational and safety limits.Integrate RL solutions with existing optimization, simulation, and contr...
Full-time
Mathematical Science Occupations
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