53 machine-learning "https:" "https:" "https:" "UCL" "UCL" positions at FEUP in Portugal
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for the recruitment of one Doctorate initial level researcher within the scope of Project ZEROWASTE – “Zero emissions in a circular military economy: from military individual equipment waste to food and energy”, with
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for 1 research grant within the framework of project “Understanding Machine Learning Systems”, financed by Faculdade de Engenharia da Universidade do Porto, under the following conditions: Scientific Area
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Engineering or Industrial Engineering and Management) - 10 points; Others Masters – 2 points) b) Experience in applying machine learning algorithms, data preparation, normalization, feature selection, and
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of applications: 14.1. Applications must be formalized at http://www.fe.up.pt/concursos , reference on-line nº 1448, until de 23h59m (local time) of 10-04-2026. The application must include: full name, number and
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18 Mar 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Other
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for this grant: Requirement 1: - Be a student enrolled in a doctoral program in the area of Materials science, Machine Learning computational science, Coating and surface engineering a requirement to be duly
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18 Mar 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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2022.09373.PTDC financed by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning/Recommender Systems Admission requirements: Candidates who cumulatively meet the
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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration
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than 14/20 (1 point); B. Knowledge of Interactive Systems Design, Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and Artificial Intelligence, Sensor Networks