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Institute of Fundamental Technological Research
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Postdoctoral Fellowship in Artificial Intelligence and Machine Learning applied to industrial processes IPT – Institute for Technological Research in Poland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 25, 2026
Country
Poland
University
Institute of Fundamental Technological Research

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About this position
Postdoctoral Fellowship in Artificial Intelligence and Machine Learning applied to industrial processes at the Institute for Technological Research (IPT) and ICTS–Unesp, Brazil.
This 18-month postdoctoral opportunity is part of a FAPESP Applied Research Center project, “Applied Artificial Intelligence Research Center: Driving Industrial Transformation toward the 5.0 Standard,” under the research line “Artificial Intelligence Applied to Industrial Processes.” The work will be carried out on-site at the Department of Control and Automation Engineering (DECA) at Unesp’s Sorocaba Campus, in collaboration with a broader research project involving large companies and the IASMIN Platform track on Autonomous Systems, Robotics, and Machine Tools.
The project is centered on artificial intelligence and machine learning methods for industrial transformation, with strong connections to computer vision, deep learning, transformers, large language models, natural language processing, robotics, and industrial engineering applications. The position is supervised by Principal Investigator Jefferson de Oliveira Gomes.
Funding is provided as a monthly FAPESP stipend of R$ 12,570.00 (approximately US$ 2,400), and relocation assistance may be available for researchers moving from outside the area. The opportunity is open to both Brazilian and foreign nationals.
Applicants should have an undergraduate degree in Computer Science or Computer Engineering and a PhD in Computer Science or a related field, obtained within the last 7 years. Required skills include Python, deep learning, computer vision, transformers, large language models, NLP, relevant scientific publications, and English proficiency. Preferred experience includes scientific publishing, leadership, project coordination, teamwork, and strong communication skills.
To apply, candidates must complete the online form and submit a CV (Lattes for Brazilians or PDF for foreign applicants), a cover letter, two recommendation letters, and degree/completion documents. Deadline: 2026-08-25.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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