Research Fellow (Protein Design and Engineering), ChBE

National University of Singapore

Singapore

On-site

SGD 70,000 - 110,000

Full time

14 days+
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Job summary

The National University of Singapore invites applications for a Research Fellow (Protein Design and Engineering) in the Chemical and Biomolecular Engineering (ChBE) department at Kent Ridge Campus. The appointee will join a project on enzyme biophysics and computational design for sustainable biocatalysis.

Jointly with the Principal Investigator, Dr. Zheng Chu, you will perform large-scale bioinformatic, mechanistic, and structural analyses; build computational models combining biophysics and

Qualifications

  • PhD in Chemical Engineering, Bioengineering, Physics, Chemistry or a related field.
  • Good publication record.
  • Experience in computational biophysics, biomolecular modelling, machine learning, or protein biochemistry.

Responsibilities

  • Work with the Principal Investigator on enzyme biophysics and computational design for sustainable biocatalysis.
  • Conduct large-scale bioinformatic, mechanistic, and structural analyses to understand enzyme activity.
  • Develop computational models integrating biophysics and machine learning to predict and design functional enzymes.
  • Explore real-world applications of designed enzymes.

Skills

Computational biophysics
Biomolecular modelling
Machine learning
Protein biochemistry
Publication record

Education

PhD in Chemical Engineering, Bioengineering, Physics, Chemistry or related field

Job description

Job Title: Research Fellow (Protein Design and Engineering), ChBE

Location: Kent Ridge Campus

Job Description

The Research Fellow will work closely with the Principal Investigator, Dr. ZHENG Chu, on the research project of enzyme biophysics and computational design for applications in sustainable biocatalysis.

The Research Fellow will help conduct large-scale bioinformatic, mechanistic, and structural analyses to elucidate the physical basis of enzyme activity; develop computational models that integrate biophysics and machine learning for the accurate prediction and design of functional enzymes; and explore their real-world applications.

Job Requirements
  • Ph.D. in a relevant area, e.g., Chemical Engineering, Bioengineering, Physics, Chemistry, or a related field.
  • Good publication record.
  • Experience in one or more of the following areas: computational biophysics, biomolecular modelling, machine learning, or protein biochemistry.

This position is available from Oct 2026.

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