Tuesday, April 16, 2024

[DMANET] Postoc opportunity

Postdoc opportunity at UNIFESP - Sao Paulo - Brazil
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 for Brazil
(R$ 9,047.40 monthly) plus benefits.
Inscriptions by the form: https://forms.gle/1UwDvQ2VPEiiC66W9

• 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.
• Develop and implement machine learning algorithms to solve industry 4.0
• 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

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

* Contributions to be spread via DMANET are submitted to
* DMANET@zpr.uni-koeln.de
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/