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work environment Learn more about CQT at https://www.cqt.sg/ To support the Centre’s research and grant operations by managing grant-related data, tracking budgets and manpower, preparing reports and
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and students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ To support the Centre’s community engagement and internal communications by managing
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evaluate computer vision and machine learning algorithms empirically. Author research articles at an international level for peer-reviewed conferences. Engineer software based on the research outcomes
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: PhD degree in Computer Science, Computer & Electronics Engineering or other related fields Strong background and knowledge in at least one or preferably more of the following fields: Cybersecurity, Deep
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and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency
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at the interface of optimization, geometry, and machine learning Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project Preparing reports
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industry-relevant research, teach courses in Computer Science, Computer Engineering, Information Security and Software Engineering, as well as supervise graduate industry masters and doctorate students in
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robotic middleware (e.g., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic
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Teaching statement (up to 1 page) on applied learning approach Three key research outputs with impact description Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413950/assistant
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. Strong programming skills in Python and experience with software development for data analysis or machine learning applications. Knowledge of artificial intelligence and machine learning techniques