Research Fellow: ML for Chemical Eng & Process Optimization

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

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