Jobverse
Machine Learning Engineer · China

Sensing Expert

cesna-group-2·Jiaxing, Zhejiang, China

View & apply on company site →
  • Development of new anode materials for lithium-ion batteries, including artificial graphite, natural graphite, and silicon-based materials

-Performance improvement and optimization research on existing anode materials

-Enhancement of technical capabilities through experimental design, data analysis, and result validation

-Collaboration with pilot plants and production sites to support technology transfer and process stabilization

-Analysis of competitors’ technologies, identification of patent opportunities, and formulation of technology roadmaps

-Participation in joint R&D projects with external research institutions, universities, and partner companies

Requirements

-Master’s degree or higher in Chemical Engineering, Materials Science, Inorganic Materials, or related fields (Ph.D. preferred)

-Minimum of 10 years of industry experience, excluding time spent in Master's or Ph.D. programs

-Must have prior R&D experience in lithium-ion battery anode materials

-Candidates with experience in at least one of the following areas are preferred:

-Development of artificial graphite (based on raw materials such as petroleum coke, pitch)

-Development of natural graphite (including CIP, 3D structure control, internal densification, etc.)

-Development of silicon-based anodes (deposition techniques, nanostructures, expansion suppression, mass production, etc.)

-Prior work experience at relevant companies is preferred

-Experience in introducing new technologies and utilizing new equipment for high-performance anode materials is a plus

-Strong capability in experimental design and analysis, with data-driven decision-making skills

Benefits

Work with worldwide talented teams

High base and uncapped quarterly bonuses

View & apply on company site →

Sourced from a public career listing. Jobverse is an aggregator, not the employer.

← All Machine Learning Engineer jobs