新加坡管理大学徵Research Engineers School of Information Systems 朱飞达(Feida Zhu)老师 Pinnacle Lab for Analytics is a research lab at Singapore Management University (SMU) aiming at the collaboration between academia and industry to promote research, application and technology transfer focusing on the theme of “Big Data” analytics. The lab thrives on strong collaborations with leading industry partners both home and abroad, including DBS bank, P&G, China Ping An Insurance Group and etc. Homepage: https://centres.smu.edu.sg/pinnacle/ Employment: Salary: S$3000-5000/month (1 SGD = 23 TWD) * 4 Research Engineers - Data Mining Job Description: Engagement in state-of-the-art research and development projects at frontiers of financial and business innovation. Focus on social media data for user analysis Algorithm/model design, implementation and optimization Data preprocessing, text processing and analysis, feature engineering Development, delivery and maintenance of technology-based business solutions Position Requirement: Bachelor Degree or above in a major related to computer science Fluent in English and Chinese Familiar with software developing process, environment and tools Capability of coding with SQL, Java or Python Experiences with data mining and machine learning concepts Quick learner, team-working spirit, pro-active and self-motivated Strong sense of responsibility in meeting schedules and deadlines Experiences with NLP or big data platforms such as Hadoop is a plus * 1 Research Engineer - Data Management Job Description: Engagement in state-of-the-art research and development projects at frontiers of financial and business innovation. Data retrieval from public social media platforms Large-scale data crawler design and development Management of data repository Data quality inspection and maintenance Periodical data reports Position Requirement: Bachelor Degree or above in a major related to computer science Fluent in English and Chinese Familiar with software developing process, environment and tools Capability of coding with SQL, Java or Python Familiar with distributed systems such as Hadoop, and related tools such as HBase, elastic search. Experiences with data mining and machine learning concepts Quick learner, team-working spirit, pro-active and self-motivated Strong sense of responsibility in meeting schedules and deadlines If you want to challenge yourself in an innovative environment, collaborate with some of the best professors, research fellows and engineers in the area of “big data” mining and analysis, we look forward to receiving your application. Please send your CV to [email protected] or [email protected] --

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