Trabajos ar en Reino Unido

  • Rival
    PhD Research Intern, AI-Powered 2D-to-3D Video Conversion
    PhD Research Intern, AI-Powered 2D-to-3D Video Conversion
    hace 7 días
    Jornada completa
    London

    About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.

    ¡Incorporación inmediata!
    Sin experiencia
    Inscripción fácil
  • La Torre Restaurant
    Head Waiter / Waitress
    Head Waiter / Waitress
    hace 20 días
    £12–£15 por hora
    Jornada completa
    London

    We are an Italian family run business whose passion is to dedicate ourselves in making authentic and high quality homemade Italian recipes; we are looking for a full-time head waiter/waitress position with experience in hospitality and customer service with the following duties: -Provide excellent customer services -Always strive towards best customer satisfactiction -Greet customers and present menus -Make suggestions based on their preferences -Take and serve food/drinks orders -Up-sell when appropriate -Arrange table settings -Keep tables clean and tidy at all times -Check products for quality -Deliver checks and collect payments -Cooperate and communicate with all serving ar kitchen staff -Adhere to all relevant health department rules/ regulations and all customer service guidelines

    ¡Incorporación inmediata!
    Sin experiencia
    Inscripción fácil

Búsquedas de empleo más populares en Reino Unido

Lugares de trabajo ar más populares