Research Fellow: ML in Chemical Systems & Optimization

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 collaborate with the Principal Investigator on research projects using machine learning in chemical processes and optimization problems.

You will help develop machine learning models and control systems for both theoretical work and practical applications, contributing to high-impact publications and advancing data-driven decision making in chemical engineering.

Qualifications

• PhD in chemical engineering, control engineering, CS or systems engineering.
• Strong math, modeling, programming, and scientific writing skills.
• Experience in dynamic/data-driven modeling or TEA/LCA or control theory.

Responsibilities

• Collaborate with the Principal Investigator on ML in chemical and optimization projects.
• Develop machine learning models and control systems for theory and applications.

Skills

Math

Modeling

Programming

Scientific writing

Education

PhD in relevant area

Tools

Aspen

COMSOL

CFD

Job description

The National University of Singapore invites applications for a Research Fellow to collaborate with the Principal Investigator on research projects using machine learning in chemical processes and optimization problems.

You will help develop machine learning models and control systems for both theoretical work and practical applications, contributing to high-impact publications and advancing data-driven decision making in chemical engineering.