First-level areas：Equipment Design and Manufacturing
First-level areas：Manufacturing of HVAC and refrigeration equipment
Source：Social Recruitment
Job description ：
Job Responsibilities.
-Responsible for the planning and construction of an intelligent energy storage and battery health management platform, collaborating with R&D engineers in battery materials, battery devices, and energy storage systems to plan a roadmap for artificial intelligence assisted material research and battery health management technology based on electrochemical models, and developing specific implementation plans;
-Responsible for formulating business and research and development plans for energy storage intelligence and battery intelligence, promoting cooperation with sister units of the business unit and research institute, and facilitating key technology research and development as well as the transformation and implementation of technological achievements;
-Responsible for promoting the application of artificial intelligence technology in battery material research and development, battery health monitoring, battery life prediction, as well as the full lifecycle management of energy storage battery systems and energy storage power stations;
-Responsible for promoting technological research and development cooperation with universities, institutions, and advantageous enterprises in the fields of energy storage intelligence and battery intelligence;
-Guide and train R&D engineers to improve the team’s technical level;
-Track and research the latest developments in energy storage intelligence and battery intelligence technology, and promote technological innovation and application.
Qualifications for the position.
-Doctoral degrees in electrical, electronic information, energy and power, physics, materials physics, electrochemistry, and other related fields;
-More than 10 years of research and development experience in the field of energy storage and energy;
-Familiar with energy storage technology and artificial intelligence technology, with experience in big data analysis and system modeling and simulation;

Please send your CV or resume as an attachment to the following email address:
mailto: rbhr@hrcenter.co.uk
With the subject line formatted as: ‘Name + Position + Company Name + Location’.