Research Engineer (Data Analytics and AI Innovation)

National University of Singapore; Singapore; On-site; SGD 70,000 - 90,000; Full time

Benefits offered by this job

Health and insurance benefits

Job summary

The National University of Singapore invites applications for a Research Engineer to work with professors in the Department of Industrial Systems Engineering and Management on AI and data analytics projects. The role focuses on applying ML methods, data mining, and economic modelling to understand disruptions in firms and economies.

You should hold an MSc in a relevant field, with experience as a research assistant and a track record of coding in SQL, Python, and possibly Java.

Qualifications

• Master’s degree in management science/data analytics or related fields.
• Experience as a research assistant is a plus.
• Prior research project experience in academic or industry settings is beneficial.

Responsibilities

• Collaborate with professors on AI/ML research projects.
• Conduct data analyses, modelling, and interpretation of results.
• Contribute to publications and presentations; support project workflows.

Skills

SQL

Python

Java

R

STATA

Machine Learning

Data mining

Economic modelling

Statistical analyses

Education

MSc in Management Science

Data analytics

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.