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health assessment through visual behavior recognition, image-/video-based analytics, and biosignal interpretation (e.g., growth rate estimation, movement, coloration). Design and implement experiments
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PhD and honours students with their projects as needed (e.g., help with code, advise on study design, etc.) Build prereading for EARP Lab potential joiners; support onboarding/mentorship Propose new
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or anomaly detection in living organisms. Proven expertise in machine learning for time-series, video, or biosignal analysis; familiarity with reinforcement learning, agentic AI, or domain-adapted LLMs is
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the lab Develop AI-powered pipelines for analysis of microendoscopic calcium imaging, confocal fluorescence microscopy, and behavioral videos Lead cross-modality image registration applications Launch new
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(SaRRU) is seeking a highly motivated Research Fellow (RF) to join our multidisciplinary team. The RF will work on the research project "Modelling Self-Regulated Online Learning: Video- and Digital Game
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activities as required by the school. Key Responsibilities: Develop, refine and implement Machine Learning and AI algorithms for real-world and media-related (e.g., video games) applications. Conduct
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involving speech/audio, images, and video along with text-based applications. Job Requirements: MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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application to software analysis, fuzz testing, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing, cross chain behavior