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.i2CAT Foundation (Barcelona) is opening a position to advance in the research and innovation field of real-time distributed video services, involving immersive media formats like volumetric video.The candidate will join the Media & Internet Area (MIA) of i2CAT, which is composed of over 14 experienced researchers and engineers in the fields of distributed and interactive multimedia systems and media processing, and is involved in relevant R&I projects with the European and national ecosystems, in close collaboration with key players from academia and industry.This area is seeking a highly motivated and talented AI Engineer expert in 3D volumetric video processing to join our development team. The ideal candidate should have a strong background in 3D video AI driven development and skills in programming languages, such as C++/C# and Python. The candidate will be in charge of working on AI driven 3D volumetric reconstruction and enhancement methods, 3D AI driven rendering methods and their integration in real time applications for XR immersive experiences.Moreover, the candidate will be involved in cutting-edge research, innovation and development tasks. All this R&I&D will shape the future of HoloMIT, collaborating hand-to-hand with experts in the media and networks domains under the umbrella of competitive national and international projects (Horizon Europe, European Smart Networks and Services Joint Undertaking, SNS JU), including the collaboration with highly relevant international partners from academia and industry. The candidate will be in charge of maintaining and improving the 3D reconstruction system and its integration in the Holoconference Unity SDK called HoloMIT, implementing new features, integrating in-house new pipelines and optimizations.The results from the planned research and development activities are expected to lead to high-impact scientific publications, technology/knowledge transfer (e.G., open-source software, patents, contributions to standards), resulting cutting-edge software and services (e.G., Volumetric Video Compression and Neural Radiance Fields), and career development opportunities (self and of supervised of highly skilled personnel).The ideal candidate must have proven track record of:At least one among:AI based 3D video enhancement techniques (i.E. supersampling, re-lighting)AI based 3D Reconstruction techniques (i.E. occlusions removal, camera calibration)Neural Randiance Fields (NeRF)Thorough understanding of Deep Learning / Machine Learning (i.E., architecture, mathematics, datasets and intuition behind).Experience with any of the Deep Learning frameworks (Tensorflow, PyTorch, Jax, Caffe ´, Keras, etc.).Strong Python and C/C++ programming and software design skills.Experience with 3D reconstruction techniques in real-timeBSc/MSc with few years of experience in computer science or other domain-related disciplines (e.G. Computer Graphics related majors)
