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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
Applications are open for 1 Research Studentship, within the framework of project HAVATAR, PTDC/EEI-ROB/1155/2020, financed by national funds through FCT/MCTES (PIDDAC Workplan: Research in computer vision
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knowledge of machine learning; • Have knowledge, at least, of the computational libraries Pandas, TensorFlow & Sklearn. • Have knowledge of computer vision; • Have knowledge of natural language processing
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. (50%) Ability to write high quality scientific publications, demonstrable via the publication track-record. (25%) Knowledge of recent ML modelling techniques in domains such as NLP, computer vision and
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the specific scientific area of scholarship; - Identify and select suitable methods for developing a computer vision-based solution for external referencing of industrial robots and detection of object
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
: The work will be developed at the Computer and Robot Vision lab (Vislab) of the Institute for Systems and Robotics, under the scientific supervision of Prof. Alexandre Bernardino. Website for additional
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study cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience in Python; - Experience in computer vision. Minimum requirements: Global score in the master of at least
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factors: - Experience in Python; - Experience in computer vision. Minimum requirements: Global score in the Bachelor of at least 16 out of20. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection
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and Internationalization (COMPETE 2020), through national funds, under the following conditions: Scientific Area: Computer Vision Admission requirements: Candidates who cumulatively meet the following
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Competitiveness and Internationalization (COMPETE 2020), through national funds, under the following conditions: Scientific Area: Computer Vision Admission requirements: Candidates who cumulatively meet the
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the specific scientific area of scholarship; - Identify and select appropriate methods for developing a computer vision solution for object pose recognition and estimation and its application to a robotic