|From||Minghui Diao <email@example.com>|
|Date||Thu, 27 Dec 2018 14:52:09 -0800|
I would like to call your attention to two Graduate Student Research Positions (Master’s Level) in the directions of (i) analyses of polar mixed-phase clouds based on observations and climate model simulations, and (ii) impact on air pollution from fine particulate matter based on NASA satellite data. Each student will be exposed to a broad range of experiences, including aircraft-based observations, ground-based observations, satellite data, and integrated analysis of observational and model simulation data.
For the first position, the student's tasks include: a) analyzing aircraft-based and ground-based observation data on cloud, radiation and precipitation, b) comparing in-situ observations with global climate model simulations, and c) quantifying the impact of anthropogenic emissions on long-term climate projection.
For the second position, the student’s tasks include: a) using NASA satellite data to analyze distributions of PM2.5 in California, and b) examine the impact of wildfire smoke plumes on air quality.
The Research Assistantship is expected to start in Fall 2019. It is strongly recommended that you submit the full application before February 15 2019, for considerations of research assistantship. Information of the research projects can be found at * Information of the Department of Meteorology and Climate Science at San Jose State University can be found at **. Detailed information on the program, the M.S. position and how to apply can be found at *
Dr. Minghui Diao
Department of Meteorology and Climate Science
One Washington Square
San Jose, CA, 95192-0104
Email: firstname.lastname@example.org; Group website:
-------------- Detailed information of the job --------------
Project One on mixed-phase clouds over the Antarctica and Southern Ocean:
student will conduct analysis of aircraft-based measurements and ground-based
observations over the Antarctica and Southern Ocean. The goal is to improve the understanding of cloud formation over these
remote regions, particularly ice clouds
and mixed-phase clouds, which remain some of the least well-simulated components in numerical modeling.
Linking observations with model simulations is
the key component of this job. The tasks
a) Analyzing aircraft-based and ground-based observations on cloud microphysical properties, radiation and precipitation;
Comparing in-situ and remote sensing observations with global climate model
c) Quantifying the impact of anthropogenic emissions on long-term climate projection.
Project Two on PM2.5 concentrations based on NASA satellite data:
NASA satellite data to derive surface-level PM2.5 concentration is the key
component of this
job. The tasks include:
a) Analyzing satellite observations of aerosol optical depth and chemical tracers to examine the algorithms for deriving surface-level PM2.5;
Comparing in-situ observations, remote sensing observations and model
simulations on distribution and dispersion of fine particulate matter;
c) Quantifying the impact of wildfire smoke on local air quality on community scales.
Job requirements for both positions:
Bachelor degree with a background in atmospheric science, physics, engineering or related technical disciplines
- Programming skills in at least one scientific programming language, e.g., Matlab, Python, R, IDL, etc.
- Good knowledge of English and good communication skill
The following qualifications would be desirable:
- Experience in collecting and processing observational data sets
Research experience and an academic publication record
For further questions please contact Dr. Minghui Diao (Minghui.email@example.com). Check out the group website at: . An online application to the Department of Meteorology and Climate Science at San Jose State University must be submitted to the graduate admission office via .
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