Time Series Researcher (Bengaluru)

Time Series Researcher (Bengaluru)

21 Aug
|
Applied Computing
|
Bengaluru

21 Aug

Applied Computing

Bengaluru

About Applied Computing
Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet.
The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data.
We built Orbital to change that. It’s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.
We’ve raised over $32 million, including one of the largest seed rounds for an AI company in the UK. We’re just getting started.

The Role

The Time Series Researcher owns the core of Orbital’s temporal intelligence. This role exists to design, validate, and deploy foundational time-series models that operate under real world constraints: noisy sensors,



partial observability, physical laws, and high economic stakes.

This is not offline research. You will own the full lifecycle; from theoretical formulation and experimentation to real-time inference, uncertainty estimation, and continuous retraining in production.

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 → production translation for time-series models
• Benchmarking standards and validation protocols used across the company
Must-Have Qualifications
PhD in Computer Science, Statistics, Applied Mathematics, Physics, or related field
First-author publications in time-series modelling, forecasting, signal processing, or physics-informed ML
3+ years of hands-on research experience in time-series or sequence modelling
Demonstrated experience in Deep Learn

📌 Time Series Researcher (Bengaluru)
🏢 Applied Computing
📍 Bengaluru

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