Postdoctoral Research Associate Grant-Funded
Postdoctoral Research Associate Grant-Funded
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
The Postdoctoral Research Associate will participate in quantifying the probability of compound extreme events using joint and conditional probability approaches. This position will also evaluate both historical data and future climate scenarios to analyze changing risk of extreme events and compound extremes across the USA and a selected partner country. This will make use of four novel methods to assess and illustrate risk. Observational datasets obtained from NASA products GISS Surface Temperature Analysis Precipitation data from the GPM and TRMM CHIRPS CHIRTS DayMet) will be used for analysis. This is a grantfunded position with a current anticipated end date of September 15 2024.
Essential Duties And Responsibilities
Evaluates both historical data and future climate scenarios to analyze changing risk of extreme events and compound extremes across the USA and a selected partner country. Develops and applies innovative statistical approaches for assessing changes in precipitation extremes and their underlying physical causes. Presents research findings at professional conferences. Performs the research required by the faculty supervisor to a high standard and in accordance with all institutional and federal regulations. Works in a collegial and cooperative manner with the faculty supervisor and other coworkers.
Physical Demands
While performing the duties of this job the employee is regularly required to: sit stand walk reach with hands and arms; and use hands to prepare experiments handle lab equipment talk and hear and to operate computer. The employee is frequently required to: walk and stand. The employee is occasionally required to: lift and/or move up to 15 pounds. Specific vision requirements for this job include the ability to adjust focus as necessary.
Required Qualifications
PhD required preferably in meteorology atmospheric or climate sciences. Experience studying climate variability and change. Excellent data analysis statistical analysis and data visualization skills required. Must possess excellent programming skills in several languages (R being preferred). Must possess a high level of productivity for peerreviewed publications is expected.
Preferred Qualifications
N/A
Required Experience:
IC
Employment Type
Grant
