Is the Job related to staff position within a Research Infrastructure? NoOffer Description
Activities and context: The 21-month post-doctoral fellowship is part of CePEX and focuses on monitoring and forecasting extreme events in São Paulo. Activities include integrating radar and Earth observation data; developing and adapting foundation models, world models, and Joint-Embedding Predictive Architectures (JEPA); evaluating rare events; improving computational efficiency; integrating models into the decision-support platform; and publishing research findings, data, and code.
Mandatory requirements: PhD in Computer Science, Engineering, Applied Mathematics, or a related field; demonstrated experience in deep learning and image or time series processing; proficiency in Python and deep learning frameworks; knowledge of foundation models, self-supervised learning, and experimental evaluation; English proficiency for scientific reading and writing; ability to conduct research independently and collaboratively; and availability throughout the 21-month fellowship.
How to apply: Email with CV (Lattes if Brazilian) to joao.papa@unesp.br.
This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity.
Where to apply
Website: http://www.fapesp.br/oportunidades/9968
Requirements
Additional Information
Eligibility criteria
Eligible destination country/ies for fellows:
Eligibility of fellows: country/ies of residence:
Eligibility of fellows: nationality/ies:
Work Location(s)
- Number of offers available: 1
- Company/Institute: Faculdade de Ciências – UNESP, câmpus Bauru
- Country: Brazil
- State/Province: São Paulo
- City: Bauru
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