Research Engineer: Airborne Pollutants & Python

National University of Singapore; Singapore; On-site; SGD 45,000 - 75,000; Full time

Job summary

National University of Singapore invites applications for a research-focused role to study airborne pollutants in urban environments. You will collaborate with the PI and team to conduct data-driven analyses, develop models, and contribute to scientific publications.

The role requires strong fundamentals in Chemical Engineering / Chemistry / Physics, experience with data analytics, and proficiency in presenting findings.

Qualifications

• Experience in applying data analytics, machine learning and handling big data.
• Experience in applying Python functions of matplotlib, and NumPy, pandas, statsmodels.
• Fast learner with ability to conduct independent research and literature search & review with strong background in Chemical Engineering / Chemistry / Physics.
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants.
• Proactive in assisting and contributing to quality scientific research publications.
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project.

Skills

Data analytics

Machine learning

Big data handling

Instrument operation

Literature review

Presentation & reporting

Team collaboration

Education

Chemical Engineering

Chemistry

Physics

Tools

Python libraries

Matplotlib

NumPy

Pandas

Statsmodels

Job description

National University of Singapore invites applications for a research-focused role to study airborne pollutants in urban environments. You will collaborate with the PI and team to conduct data-driven analyses, develop models, and contribute to scientific publications.

The role requires strong fundamentals in Chemical Engineering / Chemistry / Physics, experience with data analytics, and proficiency in presenting findings.