Research Assistant (Membrane Technologies), ChBE

National University of Singapore; Singapore; On-site; SGD 32,000 - 52,000; Full time

Job summary

National University of Singapore seeks a Research Assistant (Membrane Technologies) in the Chemical and Biomolecular Engineering area. The role focuses on developing hybrid process models that merge first-principles simulation with machine learning to support membrane technology design for decarbonization.

You will work under Prof. Yoel René Cortés-Peña, collaborating on modelling, experimental validation and technology optimization, while performing techno-economic and environmental analyses to

Qualifications

• Bachelor’s degree in Chemical Engineering, Chemistry, or a closely related field.
• Research experience in membrane technologies and interest in ML.
• Experience with modelling and design of experiments is preferred.

Responsibilities

• Develop hybrid process models combining first-principles simulation and machine learning.
• Collaborate with Prof. Cortés-Peña and colleagues on modelling, validation and optimization.
• Use ML to estimate uncertain performance parameters from experimental data.
• Conduct techno-economic and environmental analyses to identify promising designs.
• Iteratively improve model predictions as new data becomes available.

Skills

Membrane technologies

Machine learning

Design of experiments

First-principles simulation

Process modelling

Techno-economic analysis

Environmental analysis

Education

Bachelor's degree in Chemical Engineering, Chemistry, or related field

Job description

Job Title: Research Assistant (Membrane Technologies), 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: 05/10/2026

Job Description

The Research Engineer will develop hybrid process models that combine first-principles simulation and machine learning to support the design and scale-up of emerging membrane technologies for decarbonization.

The Research Engineer will work under the guidance of Prof. Yoel René Cortés-Peña and collaborate with other researchers at the National University of Singapore on modelling, experimental validation, and technology optimization.

The role will involve building process models that leverage machine learning to estimate uncertain performance parameters from experimental data. The engineer will conduct techno-economic and environmental analyses to identify promising designs, guide experimental efforts, and iteratively improve model predictions as new data become available.

Job Requirements

The candidate must have B.S. in Chemical Engineering, Chemistry, or a closely related field. The candidate must also have research experience on membrane technologies and a strong interest in machine learning and design of experiments.