Research Engineer (PyCHAM Chemical Simulation)

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

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

The job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary 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

More Information

Location: Kent Ridge Campus

Organization: NUS Environmental Research Institute