Opportunity for a Postdoctoral Fellowship in Artificial Intelligence and Machine Learning Applied to Industrial Processes
Opportunity for a Postdoctoral Fellowship in Artificial Intelligence and Machine Learning Applied to Industrial Processes
Field of Expertise: Computer Science
FAPESP Process No: 2020/09850-0
Project Title: Center for Applied Research in Artificial Intelligence: Driving the Transformation of Industries toward Standard 5.0
Activity: A.I. applied to industrial processes
Name of applicant: Jefferson de Oliveira Gomes
Home Institution: Institute of Science and Technology – Unesp Sorocaba
Deadline for applications: September 23, 2025
Location: Av. Três de Março, 511, Alto da Boa Vista, Sorocaba, SP, Brasil
E-mail for applications: alexandre.simoes@unesp.br
Summary
24-month postdoctoral fellowship in AI applied to industry in a research project with large enterprises, under the research line “Autonomous Systems, Robotics, and Machine Tools” of the IASMIN Platform, the FAPESP Center for Applied Research in AI. The work will be carried out in the Dept. of Control and Automation Eng. (DECA) at Unesp, Sorocaba Campus. Open to Brazilian and international candidates. Stipend: R$ 12,570.00 per month. FAPESP offers relocation support for researchers outside the host city.
Requirements
- Undergraduate degree: Computer Science or Computer Eng.
- PhD: Computer Science, Computer Eng., Electrical Eng, Control and Automation Eng., or related fields, obtained within the last 7 years
- Knowledge of deep learning, computer vision, and LLM, with relevant scientific publications
- English
Desired
- Experience in Robotics and/or Industrial Process Control, and NLP
- Demonstrated ability in scientific manuscript preparation, leadership, project coordination, teamwork, and communication
How to apply
- Form: https://forms.gle/mV9ct3gwMSCaoNw98
- Attach: Link to Lattes CV (Brazilian candidates) or PDF CV (international candidates), Motivation letter (max. 2 pages) describing interest and expectations, 2 letters of recommendation (max. 2 pages), Undergraduate diploma, Doctoral diploma or statement of completion
- Info: alexandre.simoes@unesp.br
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