Reinforcement Learning Research Scientist – Energy Systems

Applied Computing is at the forefront of deploying RL-powered solutions in energy operations, focusing on physics-informed models and real-time optimisation. The role leads design, validation, and production rollout of learning-based decision systems for industrial plants using digital twins and simulation.

You will shape safety, robustness and interpretability while delivering practical impact. The candidate will work across model‑free/ model‑based RL, MPC, and integration with control systems,

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