Research Fellow (DATA FUSION)

National University of Singapore; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

National University of Singapore invites applications for a Research Fellow (DATA FUSION) in the Civil and Environmental Engineering department at Kent Ridge Campus. The role focuses on fusing survey data with passively collected data, designing surveys, and validating methods using open datasets.

The successful candidate will work on independent and collaborative research, contribute to grant proposals, and supervise postgraduate researchers, with a fixed-term contract as needed.

Qualifications

• PhD in Travel behaviour, Management, Economics, Statistics, Psychology, or related disciplines.
• Good understanding of discrete choice experiments and model estimation.
• Strong background in optimization methods.
• Proficiency in programming econometric models in R, Python, or MATLAB.
• Good written and verbal communication skills.
• Expected to pursue independent as well as collaborative research.
• Willingness to participate in writing grant proposals and supervising doctoral/postgraduate students.
• Open to fixed-term contract.

Responsibilities

• Develop approaches to fuse survey data with passively collected data (e.g., smart card data).
• Design survey instrument and collect data.
• Validate new approaches using open-source datasets.

Skills

Discrete choice experiments

Model estimation

Optimization methods

Econometric programming

Written and verbal communication

Independent and collaborative research

Grant proposals supervision

Education

PhD in Travel behaviour / Management / Economics / Statistics / Psychology

Tools

R

Python

MATLAB

Job description

Job Title: Research Fellow (DATA FUSION)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Civil and Environmental Engineering

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Job Description

The Selected RF Is Expected To Work On

• Developing approaches to fuse survey data with passively collected data (e.g., smart card data).
• Design survey instrument and collect data.
• Validate new approaches using open-source datasets.

Job Requirements

• Possess a PhD in Travel behaviour, Management, Economics, Statistics, Psychology, or related disciplines.
• Has good understanding of discrete choice experiments and model estimation.
• Has strong background in optimization methods.
• Is proficient in programming econometric models in R, Python, or MATLAB.
• Good written and verbal communication skills.
• The successful applicant is expected to pursue independent as well as collaborative research.
• Must be willing participate in writing grant proposals and in the supervision of doctoral/postgraduate research students.
• Open to fixed-term contract.