Research Fellow (AI + Mobility)

NATIONAL UNIVERSITY OF SINGAPORE; Pasir Panjang; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading research institution in Malaysia is seeking a Research Fellow to join a project focused on generating synthetic populations and activity schedules using large language models. The ideal candidate will hold a PhD in a relevant discipline and possess skills in discrete choice experiments, optimization methods, and programming. Responsibilities include conducting independent and collaborative research, writing grants, and supervising students.

Qualifications

• Possess a PhD in relevant disciplines.
• Good understanding of discrete choice experiments and model estimation.
• Strong background in optimization methods.
• Proficient in programming econometric models in R, Python, or MATLAB.
• Good written and verbal communication skills.

Responsibilities

• Generate synthetic population using LLMs and statistical models.
• Create activity schedules with LLMs and statistical models.
• Write research papers and grant proposals.
• Supervise doctoral/postgraduate research students.

Skills

Discrete choice experiments

Model estimation

Optimization methods

Programming in R

Programming in Python

Programming in MATLAB

Written communication

Verbal communication

Education

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

Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for a Research Fellow position in Dr Prateek Bansal's research group at the National University of Singapore (NUS).

The project involves generating synthetic population with inter-intra household structure and its activity schedules in activity-based models by leveraging Large Language Models (LLMS):

(i) Using LLMs + Statistical models for generating synthetic populations.
(ii) Using LLMs + Statistical models for generating activity schedules
(iii) Writing research papers.

The successful applicant is expected to pursue independent as well as collaborative research, must be willing to participate in writing grant proposals and help supervise doctoral/postgraduate research students.

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.
• PhD candidates without experience are welcome to apply.
• Open to fixed-term contract.