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of the energy transition”, reference CETP/0003/2022, funded “Exclusively by National Funds through FCT, I.P. (CETP/0003/2022)”, under the following conditions: 1. Scientific Area: Computer Engineering 2
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/Qualifications Admission Requirements a) Be enrolled in an Integrated Master's or Master's programme in Electrical and Computer Engineering, with a major orminor specialization in the Scientific Area of Energy or
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30 Jul 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Researcher Profile
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 14 Jul 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not
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– up to 1.5 points; No – 0 points; iii. Attendance of courses in the area of computer simulation of the hygrothermal behaviour of building components and/or energy efficiency of buildings: Yes – up
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Advisor: João Paulo Lopes Monteiro (ist169647) Organic Unit: Department of Electrical and Computer Engineering Scholarship Theme: Software development for 5G Nanosatellite mission Duration: 12 months
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) NORTE2030-FEDER-01192300, co-financed by the European Union through the NORTE 2030 Regional Program, of Portugal 2030, under the following conditions:: Scientific Area: Computer Engineering Admission
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14 Jul 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Other Researcher Profile First Stage
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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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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic