Research Assistant (Membrane Technologies), ChBE

National University of Singapore; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

The National University of Singapore invites applications for a Research Engineer to develop hybrid process models that combine first-principles simulation with machine learning for the design and scale-up of emerging membrane technologies for decarbonization.

You will collaborate with Prof. Yoel René Cortés-Peña and other researchers to model, validate experimentally, and optimize technology, using data to estimate uncertain performance and inform experiments.

Qualifications

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

Responsibilities

• Develop hybrid process models combining first-principles simulation with machine learning to support design and scale-up of membrane technologies for decarbonization.
• Collaborate with Prof. Yoel René Cortés-Peña and other researchers on modelling, experimental validation, and technology optimization.
• Conduct techno-economic and environmental analyses to identify promising designs and guide experimental work.

Skills

Machine learning

Design of experiments

Process modelling

Education

B.S. in Chemical Engineering, Chemistry or related field

Job description

Company description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description

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.