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) Master's students and PhD candidates who have achieved excellent results in their previous studies, and who pursue studies in Artificial Intelligence, broadly conceived Academic Requirements Master's
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(current or prospective) Master's students who have achieved excellent results in their Bachelor's studies, and who pursue Master's level studies in Artificial Intelligence, broadly conceived. Academic
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
position within a Research Infrastructure? No Offer Description Applications are open for one (1) Research Studentship(s), within the framework of project/R&D institution AI-Pack-Bot: Artificial Intelligence
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, Automation, Machine Learning and Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C
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Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C. Knowledge and Experience of participating
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analysis. Familiarity with research documentation maintained according to ISO standards. Experience using AcqKnowledge software. Willingness to acquire skills in machine learning and artificial intelligence
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such as Big Data analytics, virtual healthcare, Internet of Medical Things (IoMT), cybersecurity, and artificial intelligence. Students get the chance to work on real-world projects with industry partners
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simulation tools, as well as, where applicable, integration with Digital Twins, physical/robotic simulation, Artificial Intelligence techniques and Reinforcement Learning; • Analysis and interpretation
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points); b) Publications in the area of artificial intelligence, machine learning, computational simulation and multi-agent systems (maximum 5 points); c) Research experience in the project area (maximum
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Regression, Gradient Boosting, Self-Organizing Maps, etc.); Demonstrated interest in the field of Urban Analytics and Mobility, particularly in the application of artificial intelligence and machine learning