Post-Doctoral Fellowship in Machine Learning

The project “Achievement of Sustainable Development Goals in the context of dealing with Disasters (CODeS): computational tools in integrated data analysis” offers a post-doctoral position to design, develop and evaluate supervised and unsupervised machine learning models, which generate fuzzy rule bases with a focus on interpretability, in addition to creating graphical representations of the results obtained and collaborating in offering short courses and co-authoring papers.

The successful candidate will be granted a 10-month post-doctoral fellowship (from 04/01/2024 to 01/31/2025) awarded by FAPESP, the São Paulo Research Foundation. He/she will conduct research at the Federal University of São Carlos (UFSCar) in São Paulo state, Brazil.

Candidates must have completed their doctorate less than 7 (seven) years ago, taking as a reference the expected date for hiring. And, if foreign researcher, fluency in Portuguese.

Documents for registration:

a) Letter of intent (1 page), explaining reasons for interest in the position and informing whether you are applying for or receiving assistance or scholarships from other sources for the same or similar purpose as the research proposal presented;

b) Academic history of undergraduate and postgraduate studies (master's and doctorate or direct doctorate, if applicable);

c) Curriculum Summary that demonstrates your potential as a researcher.

Additional documents or information should be sent to the email: norma.valencio@ufscar.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$ 9,047.40 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. 
 
More information about the fellowship is at: fapesp.br/oportunidades/6753.