Battery Data Scientist

As a Battery Data Scientist at ThinkClock, you will be responsible for analyzing and interpreting data related to battery performance, optimizing algorithms, and contributing to the development of next-generation energy storage solutions. The ideal candidate will have a strong background in data science, machine learning, and battery technology. Responsibilities: - Conduct data-driven research to develop advanced models for Battery State-of-Health (SoH) estimation. - Collaborate with multidisciplinary teams to integrate Physics-based models with Machine Learning techniques. - Utilize digital twins and spectroscopy techniques (EIS, Acoustic/RF Spectroscopy, Thermal scanning) for in-depth battery health analytics. - Develop and implement algorithms to interpret diagnostic insights from microscopic battery data. - Contribute to the enhancement of BatteryScope tool for better predictive maintenance and informed warranty policies. - Work on bespoke data collection experiments for battery systems to improve precision and standardization. Qualifications: - Ph.D. or Master's degree in Data Science, Electrical Engineering, or related field. - Strong background in machine learning, computational modeling, and battery technologies. - Experience in data collection and analysis for complex physical systems. - Proficiency in programming languages such as Python, MATLAB, or similar. - Familiarity with electrochemical systems and battery health monitoring.

Welcome to ThinkClock Battery Labs !!! At ThinkClock Battery Labs, we are on a mission to reveal all the secrets of the batteries in order to pioneer the future of sustainable energy solutions. Our commitment to sustainability is not just a part of our mission; it's our religion. As we navigate the exponential growth of the electric vehicle (EV) industry and the increasing integration of battery energy storage systems, we recognize the critical role that battery health plays in achieving net-zero targets. The missing piece of this sustainability puzzle is effective tools for assessing Battery State-of-Health (SoH) and determining its current market value. This is where you come in. As a candidate considering a career with ThinkClock Battery Labs, you are not just applying for a job; you are joining a team that is reshaping the battery ecosystem. Whether you are passionate about advancing battery data science, driving innovation in battery characterization, or leading the charge in business development, your expertise is essential to our mission.