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Engineering or related fields. Be enrolled in a doctoral program in the scientific area of Electrical Engineering. Willingness to work in the developing of signal processing and machine learning algorithms
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: Pattern and Image Analysis – Lx Work Objectives: - Evaluate and compare different causality discovery algorithms under controlled and realistic conditions. - Develop a robust and interpretable causal model
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Fellowships, available at https://drh.tecnico.ulisboa.pt/files/sites/45/despacho_8532_regulamento_bolsas.pdf Workplace: The work will be developed at the Membranes and Membrane Processes Laboratory of Centro de
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algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
, available on https://dre.pt/application/file/a/127230968 . Workplace: The work will be developed at CEMAT of Instituto Superior Técnico, under the scientific supervision of Dr. Erida Gjini Website
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). The grant aims to develop and implement the following activities: 1) Monitoring the implementation of the "NIZO" project, within IPC tasks; 2) Predictive analysis; 3) Development and implementation
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algorithm of the PotionDB system (https://github.com/AndreRijo/potionDB ); • Evaluate the proposed improvements in a geo-distributed context, using appropriate benchmarks; • Document the proposed improvements
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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation
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of Electrical Engineering or related areas. - In addition, the candidate should demonstrate solid knowledge in electric power systems and in the development of optimization algorithms and intelligent systems
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Engineering or related fields. - A solid background in electric power systems is required, as well as experience in the development of optimization algorithms and intelligent systems. - The ability to apply