新加坡管理大学征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 fdzhu@smu.edu.sg or juandu@smu.edu.sg