-Participant in investigation on market and system solution for big data service product of electric vehicle;
参与新能源车辆大数据服务产品市场及系统解决方案的调研;
-Participant in discussion on big data product concept and system design scheme;
参与新能源大数据产品概念及系统设计方案讨论;
-Participant in data cleaning, data mining and battery fault prediction/SOH algorithm design and development;
参与新能源车辆数据清洗、挖掘及电池故障、寿命预测等算法设计及开发;
-Participant in algorithm deployment on cloud;
参与算法的云端上线部署;
-Close cooperation with development teams and assist team members to complete other work.
与团队的密切合作, 协助团队成员完成其它工作。
Requirements任职要求:
-Full-time postgraduate student from key universities at home and abroad with research topic related to electric vehicle and power battery, graduate in 2021 or 2022 is preferred;
国内外重点高校全日制研究生在读,从事新能源汽车、动力电池等相关研究课题,2021届或2022届毕业生优先;
-Familiar with technical principle of electric vehicle and power battery etc.;
熟悉新能源汽车及动力电池等技术原理;
-Solid knowledge of data handle and algorithm application with python, experience in practical using is preferred;
熟练掌握Python数据处理及算法应用,并有相关使用经验;
-Strong ability in literature reading and summary;
有较强的文献阅读和总结提炼能力;
-Internship for 4-6 months, no less than 4 days per week, internship for over 6 month is preferred;
实习期4-6个月,每周工作不少于3天,可在岗6个月以上者优先;
-Responsible, strong executive, communication and learning abilities, hard-working and diligent.
有责任心,较强的执行能力、沟通能力和学习能力,工作认真,勤恳踏实
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