Isometrix Lighting and Design

About the job Isometrix works on a wide and varied range of projects including; Lifestyle, Hospitality, Food & Beverage, Retail, Residential, Exterior, one-off Events, Gallery, and Exhibitions. Every project we work on is unique, from minimalistic architectural spaces to eclectic decorative interiors. Our Clients are international, and we work with many of the leading, innovative Architects and Designers from around the world from Europe, the United States and Asia. We are looking for talented, creative Lighting Technician to join our busy London studio. We offer the opportunity for you grow your skills and experience, express your ideas, and develop your career. The role would be suitable for a hands-on person with electrical experience. Electrical qualifications / certification is not a must but is a bonus. The lighting technician will coordinate with internal teams and implement the fulfilment of lighting projects, following the given project plan. Main activities will include: - assembly of custom lighting fixtures as directed by the product design team and production manger - supporting the lighting controls team in wiring and building control panels - focusing light fittings on site and installing accessories such a louvers, lenses filters and gels under lighting designer direction - installation of bespoke and one-off pieces on various sites around the world - assisting in problem solving which will require working knowledge of drivers, lamps, dimming protocols and low voltage circuits - assist designers with building mock-ups from various materials using the inhouse workshop and excellent testing facilities - working with medium and light tools in our workshop to customise fixtures and lighting accessories - planning the site focusing requirements and ensuring we deliver excellence on every project The position will require international travel to client sites Competitive remuneration package commensurate with experience. All Applicants must have the full right to work in the UK and be able/willing to commute to Central 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.