Time Series Researcher

Job Description

At Applied Computing, we’ve built Orbital, a physics-grounded multi‑agent AI copilot that operates directly inside heavy industrial systems such as refineries, upstream assets, and energy‑intensive plants. Orbital fuses real‑time sensor data, physics‑based models, and domain‑trained language models to deliver interpretable predictions, anomaly detection, and optimisation recommendations in live production environments. The Time Series Researcher owns the core of Orbital’s temporal intelligence, designing, validating, and deploying foundational time‑series models that operate under real world constraints: noisy sensors, partial observability, physical laws, and high economic stakes.

What You’ll Own

• Orbital’s foundational time‑series modelling stack
• Physics‑informed and probabilistic model design
• Uncertainty quantification and robustness under sensor faults
• Research‑to‑production translation for time‑se...