Research Assistant - – Battery Analytics & AI Modeling

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Описание

About the role Research Assistant – Battery Analytics & AI Modeling at Volta Digital Energy Technology Limited, focusing on full-lifecycle battery asset health and digital energy risk management. The role involves physics-informed AI modeling, battery diagnostics, and energy storage digital asset solutions across Hong Kong, Mainland China, and international markets. D. candidate preferred) in a STEM discipline (Data Science, Computer Science, Information Engineering, Electrical Engineering, Applied Mathematics, Physics, Energy Systems, or related fields) Proficiency in Python, R, or MATLAB for big data analytics, numerical simulation, and machine learning/deep learning workflows Sound understanding of time-series analysis, Gaussian Process regression, optimization methods, or battery degradation mechanisms Familiarity with electrochemical impedance spectroscopy (EIS), battery charging curves, or BMS telemetry data is a strong advantage Experience in blockchain data analytics, DeFi/Web3 smart contracts, or InsurTech modeling is a plus Strong research, problem-solving, and algorithmic implementation capabilities High proficiency in written and spoken English and Chinese (Cantonese and/or Putonghua) Benefits 15 working days paid annual leave, plus Hong Kong statutory holidays Discretionary Performance Bonus based on R&D project achievements Working Hours: Monday to Friday, 9:00 a.m. – 6:00 p.m. About us Volta Digital Energy Technology Limited is an approved incubatee under the Hong Kong-Shenzhen Innovation and Technology Park (HSITPL) Incubation Support Programme. Focusing on full-lifecycle battery asset health and digital energy risk management, Volta pioneers physics-informed AI modeling (P2D electrochemical model and Volta-Guard AI Battery Knowledge Graph) and microsecond pulse rejuvenation. We provide zero-retrofit diagnostic solutions (DaaS), InsurTech risk quantification (UnderwriteAI™), and energy storage digital asset bankability infrastructure across Hong Kong, Mainland China, and international markets.

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