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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement Postdoctoral Research Associate in Climatology and Climate Forecasting

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Postdoctoral Research Associate in Climatology and Climate Forecasting

Position
Postdoctoral Research Associate in Climatology and Climate Forecasting

Employer

Institute of Astronomy, Geophysics, and Atmospheric Sciences at the University of São Paulo


Location
São Paulo, Brazil

Sector
Academic

Relevant divisions
Atmospheric Sciences (AS)
Climate: Past, Present & Future (CL)

Type
Contract

Level
Experienced

Salary
R$ 12.000,00

Required education
PhD

Application deadline
2 April 2025

Posted
17 March 2025

Job description

The Institute of Astronomy, Geophysics, and Atmospheric Sciences at
the University of São Paulo offers a Postdoctoral Fellowship to investigate
seasonal and subseasonal climate forecasting procedures, focusing on global
climate model products for hydroclimatological applications in Water Security,
emphasizing extreme rainfall, droughts, and soil moisture stress.
Requirements: Ph.D. in Meteorology or related fields, knowledge of climatology
and climate forecasting, experience in programming languages and statistics,
global numerical modeling, analysis of large datasets, and seasonal and/or
subseasonal forecasting. Fellowship: Open to candidates of all nationalities
with a Ph.D. obtained by the start of the fellowship and no more than 7 years
before this date. The selected candidate will receive a FAPESP Postdoctoral
Fellowship with a monthly stipend of R$ 12,000.00 for 36 months, plus a 10%
Technical Reserve for expenses directly related to research activities. More
details at www.fapesp.br/270.


How to apply

Application Deadline: April 2, 2025. Expected start date: May 1, 2025.
Please submit an email with the subject “PD Fapesp IAG/USP” to humberto.rocha@iag.usp.br, including the following documents in PDF format:
1. A cover letter with motivation for the proposed research (1 page);
2. Curriculum Vitae, including experience in computing and statistics;
3. Two recommendation letters.