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/grant: RESEARCHER City: Porto Research field: Main: ENGINEERING Sub: Electrical engineering Job summary: INESC TEC is accepting applications for 1 RESEARCHER job in the Robotics and automation for weeding
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research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time simulation, creating the conditions for the remote control of a real-time computational
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: 1. Formulate and validate automated inspection methodologies based on computer vision and AI techniques
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infrastructure. More specifically, this research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time simulation, creating the conditions for the remote control
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industrial-grade communication protocols for automation in electric power systems.; Implement the interface between OPAL-RT and HMI/SCADA software: connecting the real-time model or digital twin with the SCADA
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interfaces (HMI), and industrial-grade communication protocols for automation in electric power systems.; • Develop and adapt a test network — a simulation model or a replica of a real network — for DIgSILENT
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The main objective of this work is to develop an intelligent control and coordination module for robotic
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requirements that must be respected in spite of their integration in a product’s Digital Passport, potentially requiring differentiated access control and/or that raw data cannot be transferred out to comply
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, and cost, so this project aims to explore new concepts, architectures, and control strategies applied to collaborative robotics. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Conduct an in
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optimize reimbursement claims with health insurers. The solution will be based on advanced hyper automation and generative artificial intelligence techniques, focusing on efficiency in terms of performance