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DSSAT - Crop Models and Applications

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Subject:
From:
Rafael Ribeiro <[log in to unmask]>
Reply To:
Rafael Ribeiro <[log in to unmask]>
Date:
Thu, 14 Jun 2018 23:24:42 +0200
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Dear all,

Please, find a job position in the attached file and feel free to forward this message to others.

Requirements:

•  PhD (close completion) / MSc (preferably in meteorology/agronomy or related)
• Experience on crop yield modelling and managing large datasets
• Strong programming skills. Proficient in R or Python. Knowing cloud infrastructure is a plus
• The practical experience in applying deep learning and fundamental machine learning algorithms (supervised, semi-supervised, and unsupervised learning) to solve complex problems. Experience with spatial statistics.
• Familiar with different crop models (DSSAT, EPIC, WOFOST, The Hybrid- Maize,etc)
• Familiar with the basic crop physiology
• Comfortable with handling database.
• Familiar with meteorological reanalysis dataset (NLDAS, GLDAS, GFS, etc)

Good luck!

-----
Rafael V. Ribeiro





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