Research Fellow (Machine Learning in Chemical Engineering), ChBE

National University of Singapore; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

National University of Singapore is seeking a Research Fellow to collaborate with the Principal Investigator on projects applying machine learning to chemical engineering and optimization. The candidate will help develop ML models and control systems for both theoretical and applied contexts, contributing to advanced research at Kent Ridge Campus.

The role requires a PhD in a relevant field and strong math, modeling, programming, and scientific writing skills, with experience in process

Qualifications

• PhD in a relevant area with strong math, modeling, programming, and scientific writing skills.
• Experience in chemical process modeling for electrochemical surface engineering or pharmaceutical crystallization, with dynamic/data-driven modeling, optimization tools like Aspen/COMSOL/CFD.
• Experience in TEA & LCA for chemical, energy, or biomanufacturing processes, based on simulation models.

Responsibilities

• Collaborate with the Principal Investigator on research projects using machine learning in chemical engineering and optimization.
• Develop machine learning models and control systems for both theory and practical applications.

Skills

Mathematical modeling

Programming

Scientific writing

Machine learning

Education

PhD in relevant field

Tools

Aspen

COMSOL

CFD

Job description

Job Title: Research Fellow (Machine Learning in Chemical Engineering), ChBE

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Chemical and Biomolecular Engineering

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 14/09/2026

Job Description

• The Research Fellow will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Fellow will help to develop machine learning models and control systems for both theory and applications

Job Requirements

• A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc.
• The candidates should have strong math, modeling, programming, and scientific writing skills, and prior experience in at least one of the following areas:
• Chemical process modeling for electrochemical surface engineering processes and/or pharmaceutical crystallization, with expertise in dynamic/data-driven modeling, optimization, Aspen, COMSOL, or CFD
• Techno-economic analysis (TEA) & life-cycle assessment (LCA) for chemical, energy, or biomanufacturing processes, based on simulation models in Aspen, COMSOL, etc.
• Control theory & applications - including nonlinear systems, MPC, reinforcement learning, stability analysis, etc.

Req ID: 34405