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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-based operating 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
