Applied AI Researcher(Phd) – Energy Intelligence

Voltanova is building an AI-powered Energy Intelligence Platform to optimize how energy is generated, stored, purchased, and consumed across industrial energy systems.We are looking for an ML Researcher to develop intelligent models combining:Weather + Renewable Generation + Electricity Demand + Tariffs + Grid + Storage + Industrial Processes
What you’ll work onBuild advanced time-series forecasting models for energy demand, renewable generation, prices, and weather.Develop AI-driven optimization and decision-making for energy storage and industrial energy systems.Research Transformers, probabilistic forecasting, reinforcement learning, and physics-informed ML.Build models that move from prediction → optimization → autonomous energy decisions.Work closely with our energy and thermal engineering teams to incorporate real-world physical constraints.
What we’re looking forStrong ML, statistics, and mathematical foundations.Strong Python and experience with PyTorch/TensorFlow/JAX.Experience with time-series forecasting, optimization, or reinforcement learning.Prior experience in energy, power systems, climate, industrial systems, or storage is a strong advantage.Strong research mindset and ability to independently solve complex problems.
This is an opportunity to build the AI brain that manages the future of industrial energy.

Skills
Python, TensorFlow, PyTorch

Work arrangement
No