Competitive salary; annual bonus; retention bank, ...
On-site
Reinforcement learning experience
Constrained optimization modeling
Python scientific computing toolkit
This internship is designed for a PhD-level researcher to apply cutting-edge methods to real-world energy systems within a global renewable energy organization
Job Summary
This internship is designed for a PhD-level researcher to apply cutting-edge methods to real-world energy systems within a global renewable energy organization.
You will contribute to research, design, experiment, implement, and test approaches including modeling, simulation, reinforcement learning, and optimization to support improved operational decision-making for battery energy storage systems.
The role offers exposure to high-impact projects, collaboration with experienced AI practitioners, and opportunities to publish, innovate, and drive the company's AI roadmap forward.
Matching Summary
This internship is designed for a PhD-level researcher to apply cutting-edge methods to real-world energy systems within a global renewable energy organization.
Salary
Competitive salary; Annual bonus; Retention bank, health insurance, pension