Research Fellow (Machine Learning in Chemical Engineering), ChBE

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The National University of Singapore invites applications for a Research Fellow to work with the Principal Investigator on cutting-edge projects integrating machine learning with chemical engineering and optimization.

The successful candidate will develop ML models and control systems, contributing to both theoretical development and practical applications in collaboration with a dynamic research team.

Qualifications

• PhD in chemical engineering, control engineering, computer science, or systems engineering.
• Strong math, modeling, programming, and scientific writing skills.
• Experience in dynamic/data-driven modeling with Aspen, COMSOL, or CFD.
• Experience or familiarity with TEA/LCA is a plus.

Responsibilities

• Collaborate with the PI on research projects using machine learning in chemical and optimization problems.
• Develop machine learning models and control systems for both theory and applications.

Skills

Math & modeling

Programming

Scientific writing

Reinforcement learning

Control theory

Education

PhD in relevant area

Tools

Aspen

COMSOL

CFD

Job description

We regret that only shortlisted candidates will be notified.

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

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