Postdoctoral Fellowship in Science of Science, NLP, and Complex Networks at ICMC-USP Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo in Brazil

The Instituto de Ciências Matemáticas e de Computação (ICMC) at the University of São Paulo (USP), in São Carlos, Brazil, is advertising a postdoctoral fellowship in science of science, natural language processing (NLP), and complex networks.

The project, titled Prediction and analysis of success in science with complex networks and natural language processing, will be carried out in person at the Interinstitutional Center for Computational Linguistics (NILC), a major Brazilian research center in NLP. The work is funded by FAPESP and includes collaboration with the Institute of Physics of São Carlos (IFSC-USP) and international partners.

Eligible applicants should have completed their PhD within the last seven years and have training in Computer Science, Applied Mathematics, Physics, Electrical and Computer Engineering, Data Science, or Statistics. The call highlights strong experience in machine learning, NLP, complex networks, graph neural networks (GNNs), statistics, and Python programming. Fluency in spoken and written English is required; Portuguese is not required. Teamwork and readiness for national and international collaboration are also emphasized.

The fellowship offers a monthly stipend of R$12,570.00, a 10% annual technical reserve for research expenses, and an installation allowance for relocation if needed. The duration is 24 months.

Applications are accepted until 2026-07-31 and must be submitted exclusively by email to [email protected]. Applicants should send a cover letter, CV with publications, and at least three references with name, email, and phone number. Use the specified email subject line in the announcement.