Publisher
source

University of Sao Paulo

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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

Full funding available

Deadline

Aug 9, 2026

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Country

Brazil

University

University of Sao Paulo

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Deep Learning
Mathematics
Image Classification
Machine learning

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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

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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