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Position: Research Associate or Senior Research Associate in Video Monitoring – ‘‘SPHERE Next Steps’’ Project
Institution: University of Bristol
Location: Bristol, United Kingdom
Duties: This research is part of the SPHERE Interdisciplinary Research Collaboration, which has been developing a sensor platform for the home to diagnose and help manage health and wellbeing conditions since October 2013. Some of the tasks will be: feature detection and tracking; statistical modelling and analysis; applying machine learning and deep learning methodologies; the use of one or more cameras (as well as other sensor modalities), including methods for action recognition and activity analysis; tracking and identifying across multiple rooms
Requirements: PhD in Video Understanding or Multimodal Computer Vision; Prior degree in computer science or mathematics; Detailed knowledge of video understanding state-of-the-art, approaches, datasets and problems; Experience in handling video data, for learning and inference; Experience in modelling deep learning approaches for Video Understanding; Experience and evidence of publishing at high-calibre conferences and journals; Experience in working within a multidisciplinary or cross-disciplinary team; Excellent programming skills (Python); Proficiency in deep learning frameworks (PyTorch); Good publication record in computer vision and/or machine learning; Possess excellent speaking and writing skills in English
   
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