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Research Engineer (Science / Engineering / Aerosol & Air Quality Sciences)

National University of Singapore

Singapore

On-site

USD 40,000 - 80,000

Full time

4 days ago
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Job summary

An established industry player is seeking a motivated individual to join their research team focused on air quality data analysis and pollutant dispersion studies. This role involves utilizing advanced data processing techniques and simulations to contribute to impactful atmospheric research. Candidates should have a strong foundation in engineering, experience with data handling tools like R and Python, and a passion for applying machine learning models in environmental science. If you are eager to make a difference in urban environmental research and thrive in a collaborative setting, this opportunity is for you.

Qualifications

  • Experience with simulations of air pollutant dispersion and meteorology modelling.
  • Proficient in data processing and handling big data.

Responsibilities

  • Work with research team to process air quality data.
  • Study small-scale dispersion of airborne pollutants.

Skills

Data Processing
Air Quality Simulation
Meteorology Modelling
Machine Learning
Technical Presentation
Team Collaboration
Fast Learner

Education

Bachelor Degree in Engineering

Tools

R
Python
Matlab
UNIX-based Operating Systems

Job description

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

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

  • Bachelor Degree in Engineering or relevant field

  • Experiences of (small-scale) simulations of air pollutant dispersion, meteorology modelling, data processing

  • Demonstrating as a fast learner of conducting literature study and literature summary

  • Experiences of handling big data via R, Python, Matlab, etc.

  • Experience with UNIX-basedoperating systems and bash script or similar

  • Strong interests in applying machine learning models and applications to atmospheric research

  • 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

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