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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human
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21 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Engineering » Electronic engineering Mathematics » Applied mathematics Computer science Researcher Profile First Stage
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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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, and writing of scientific papers. Minimum requirements: Experience in Computer Vision and machine learning. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding
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cycle or non-award courses of Higher Education Institutions. Preference factors: Experience in research projects, and writing of scientific papers. Minimum requirements: Experience in Computer Vision and
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: Experience in Computer Vision and machine learning. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience with power capping mechanisms; - Experience on the design and development of energy
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or non-award courses of Higher Education Institutions. Preference factors: Experience in RF electronics and optical communications Minimum requirements: Knowledge in electromagnetic waves and
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, and writing of scientific papers. Minimum requirements: Experience in Computer Vision and machine learning. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Previous experience (or academic training) in Machine Learning; - Ability to work independently