|From||Minghui Diao <firstname.lastname@example.org>|
|Date||Thu, 27 Feb 2020 10:33:08 -0800|
I would like to call your attention to an open Graduate Research Position (Master’s Level) in airborne observations of cloud formation. The student will be exposed to field projects that include aircraft-based observations and integrated analysis of observational and model simulation data.
The student's tasks include i) analyzing aircraft-based observation data on cloud formation and cloud-aerosol interactions, ii) comparing in-situ observations with global climate model simulations, iii) quantifying the impact of anthropogenic aerosols on clouds and climate.
The Research Assistantship is expected to start in Fall 2019 or Spring 2020. Information of my research group can be found at http://www.cloud-research.org. Information of the Department of Meteorology and Climate Science at San Jose State University can be found at http://www.sjsu.edu/meteorology. Detailed information on the program, the M.S. position and how to apply can be found at http://www.sjsu.edu/gape/
Dr. Minghui Diao
Department of Meteorology and Climate Science
San Jose State University
One Washington Square
San Jose, CA, 95192-0104
-------------- Detailed information of the job --------------
The student will conduct analysis of aircraft-based measurements, including water vapor, aerosols, cloud droplets, ice crystals and chemical tracers. The goal is to improve the understanding of cloud formation, 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 a key component of this job. The tasks include:
i) Analyzing aircraft-based observation data on cloud formation and cloud-aerosol interactions;
ii) Comparing in-situ observations with global climate model simulations;
iii) Quantifying the impact of anthropogenic aerosols on cloud microphysical properties and climate projection.
- A bachelor’s 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, IDL, R, etc.
- Good knowledge of English and good communication skill
- Ability and willingness to participate in field projects
The following qualifications would be desirable:
- Experience in collecting and processing observational data sets
- Research experience with numerical model simulations
For further questions please contact Dr. Minghui Diao (Minghui.email@example.com).
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