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
- Build 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.
- Strong 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.