Research and develop advanced AI/ML models for applications such as predictive maintenance, battery performance optimization, and manufacturing process improvements.
Optimize existing AI models for better accuracy, scalability, and efficiency in real-world industrial applications.
Stay updated with the latest advancements in AI (e.g., deep learning, reinforcement learning, time-series forecasting) and apply them to battery and energy storage technologies
Process large-scale industrial datasets (e.g., sensor data, battery performance logs) to train and validate AI models.
Requirements:
PhD or equivalent experience in Computer Science, AI, Materials Science, Physics, Chemistry, Mechanical, or other related technical field
Experience in battery technology, energy storage, or manufacturing AI applications.
Understanding of electrochemical systems, predictive maintenance, or industrial automation is advantageous
Strong problem-solving, communication, and teamwork abilities.
Ability to work in a fast-paced, innovation-driven environment.
