NATIONAL UNIVERSITY OF SINGAPORE
Research Engineer (Data Analytics and AI Innovation)
Visa Source Listed
📍🇸🇬 Singapore📅3h ago
S$62,400—S$72,000/ year
≈ ₹39L — ₹45L per year
DesignDesignsInnovationAnalyticsEngineeringData AnalyticsProgrammingResearchDataManagement
AI-Powered Fit Check
Instantly analyze how your resume matches this job's requirements and uncover your top strengths.
Note: MyCareersFuture requires a Singapore NRIC or FIN to login and apply. Search for this role directly on NATIONAL UNIVERSITY OF SINGAPORE's careers page to apply.
Job Description
Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Data-Analytics-and-AI-Innovation%29/33352-en_GB/
We regret that only shortlisted candidates will be notified.
Job Description
An application for a research engineer position is welcome. The selected candidate will work closely with the professor(s) at the Department of Industrial Systems Engineering and Management (ISEM), National University of Singapore (NUS) on cutting-edge research projects on AI technological innovations, data analytics, entrepreneurship and disruptions in firms and economy under the current global order influenced by the U.S. and China, in the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context of patents, publications, citations and networks is a plus. The compensation is competitive which includes the standard health and insurance benefits provided by NUS.
Job Requirements
A master’s (MSc.) degree in management science/data analytics, industrial systems engineering and management, business, policy, social science, or related fields is desired. Prior experience as a research assistant in these related field is a plus. Prior experience working on research projects in an academic or industry setting is a plus.