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; Proficiency in ROS/ROS2 (Robot Operating System) and middleware for data integration; Knowledge of temporal and spatial synchronization of sensors and extrinsic/intrinsic calibration. Computer Vision and 3D
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; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify state-of-the-art Vision-Language Models for image captioning; - Benchmark the models in occlusion scenarios; - Cooperate in writing
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Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 12 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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Electrical Engineering or Systems Engineering or Physics Engineering or Applied Mathematics or related courses. Preference is given to candidates with experience and knowledge in the area(s) of Computer Vision
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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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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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-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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, 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