Responsibilities:

• 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.