Postdoctoral fellowship in Image processing for flood detection (in Sao Paulo, Brazil)

This position focuses on detecting and forecasting floods using images and thus automating flood identification without human intervention. With such an approach, it will be possible to use only the cameras without a river height sensor submerged in the river. Applicants must have completed, or are nearing completion, a doctorate in Computer Science or related subjects in the past five years. The selection criteria will include demonstrated research capacity in the field of call, a solid background in image processing, machine learning, and English speech and writing skills. It is also desirable that the candidate knows how to work in groups and has the ability to interact with researchers from other areas, such as hydrology. To apply, send the following items by email to Professor Jó Ueyama by 08/30/2021. Professor Ueyama's email address is joueyama@icmc.usp.br. 

 

Please send the pdf files of the following documents: 

1. Letter of interest, containing complete information of contact, year of graduation, and citizenship/immigration status, clearly addressing the research above; 
2. Resume; 
3. Cover letter including names and contact information for three references. 
4. Enter "Postdoc" in the subject field of the message.

The accepted candidate will do research at the Institute of Mathematics and Computer Science of the University of Sao Paulo (at Sao Carlos campus which is 180 miles from Sao Paulo city www.icmc.usp.br). The grant is for one year from August 2021 (or when the hiring process is concluded) and renewable for another year.

 

Fellowship:
The post-doctoral fellowship includes a monthly stipend of R$ 7.373,10 (about USD 1,300 net pay), and research contingency funds (10% of the annual value of the fellowship, each year). For more details, check out Fapesp's webpage http://www.fapesp.br/