Postdoctoral fellowship in Machine Learning applied to Industry 4.0 – São Paulo, Brazil

Job description:

Applications are open until May 15, 2024, for a post-doctoral fellowship to conduct research on Machine Learning applied to Industry 4.0 at the IAsmin project (https://plataformaiasmin.org.br/).

The research will be developed at the Federal University of Sao Paulo in São José dos Campos, São Paulo state, Brazil, under the supervision of Prof. Lilian Berton (www.linkedin.com/in/lilian-berton-3a208824)

Candidates are invited to apply for a 12-month post-doctoral position, available to start in June 2024, with a competitive scholarship (R$ 9,047.40 monthly) plus benefits.
Inscriptions by the form: https://forms.gle/1UwDvQ2VPEiiC66W9

Requirements:
• Proven experience in machine learning, including knowledge of algorithms and techniques, and published articles.
• Proficiency in programming languages, such as Python.
• Familiarity with machine learning libraries and frameworks, such as TensorFlow, Keras, Scikit-learn, and PyTorch.
• Excellent verbal and written communication skills in English.
Responsibilities:
• Develop and implement machine learning algorithms to solve industry 4.0 problems.
• Collaborate with the research team to design experiments and analyze data.
• Explore and apply advanced machine learning techniques, including deep neural networks, time series, etc.
• Contribute to the writing of scientific articles and presentations at conferences.

This opportunity is open to candidates of any nationality. The selected candidate will receive a Post-Doctoral fellowship from the São Paulo Research Foundation (FAPESP) 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.