University of Sao Paulo
1 month ago
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FAPESP Scholarship
Postdoctoral Scholarship in Machine Learning for Image Classification and Quaternion Deep Neural Networks University of São Paulo in Brazil
Degree Level
Postdoc
Field of study
Computer Science
Funding
Scholarship amount: R$ 12,570.00. FAPESP scholarship opportunity for one vacancy; start date September 2026.
Deadline
Aug 9, 2026
Country
Brazil
University
University of Sao Paulo

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Ongoing programFAPESP CEPID Scholarship
by São Paulo Research Foundation (FAPESP) CEPID Program
FAPESP CEPID Scholarships support research training and research positions linked to CEPID centers in São Paulo, Brazil. Opportunities may include postdoctoral and graduate-level funding tied to specific center projects.
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About this position
FAPESP scholarship opportunity in Machine Learning / Computer Science for a postdoctoral researcher in the project Data Science for the Smart Industry (CDII).
The position is linked to the Institute of Mathematical and Computer Sciences, University of São Paulo (ICMC-USP), with a partner institution at the Faculty of Sciences, UNESP, Bauru Campus. The research topic focuses on the implementation and comparison of quaternion deep neural networks for image classification, with applications in weather radar and medical imaging.
Funding: scholarship amount of R$ 12,570.00. One vacancy is available, with a start date in September 2026.
Eligibility: applicants should hold a PhD in Computer Science, Mathematics, Engineering, or a related field, and have advanced skills in programming, mathematics, and English. Experience with image classification applications is preferred.
Application: submit a CV in Lattes format and include two reference names. The email subject should be “Postdoctoral Researcher in Quaternionic Neural Networks”. Deadline: August 9, 2026.
Funding details
Scholarship amount: R$ 12,570.00. FAPESP scholarship opportunity for one vacancy; start date September 2026.
What's required
PhD in Computer Science, Mathematics, Engineering, or related fields. Advanced proficiency in programming, mathematics, and English. Experience in applications involving image classification is desired.
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