Research Engineer (Data Analytics and AI Innovation)

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Job summary

National University of Singapore (NUS) seeks a research engineer to work with the Department of Industrial Systems Engineering and Management on AI innovations, data analytics, and disruptions in firms and economy. You will collaborate with professors on cutting-edge projects and leverage strong programming skills.

Ideal candidate holds a MSc in related fields, prior research assistant experience, and familiarity with data mining, machine learning, and statistical methods.

Qualifications

• Master’s degree in management science/data analytics, industrial systems engineering and management, business, policy, or related fields.
• 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.

Responsibilities

• Work closely with professors on AI research projects and data analytics initiatives.
• Apply statistical analyses and economic modelling to research questions.
• Contribute to publications and dissemination of findings.

Skills

SQL

Python

Java

STATA

R

Data analytics

Statistical analyses

Education

Master's degree in management science/data analytics, industrial systems engineering and management, business, policy, social science, or related fields

Tools

STATA

R

Job description

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.