Computer Vision Scientist Positions at NAVER LABS Europe

[Naila Murray]

​NAVER LABS Europe​ conducts fundamental and applied research in autonomous vehicles, AI, 3D mapping, AR and robotics. We encourage active participation in the academic community and our researchers regularly collaborate with world-class public research groups. We also regularly publish in venues such as CVPR, ICCV, ECCV, TPAMI and IJCV and release datasets for public use, such as our Proxy Virtual Worlds dataset.

We are currently inviting applications from scientists who are excited about contributing to the invention, development and benchmarking of computer vision technologies such as object recognition, retrieval, detection, tracking and 3D reconstruction. S/he will also contribute to the deployment of these technologies in a number of flagship NAVER products and services.

Requirements:
· Ph.D. degree in computer vision or a related discipline.
· Excellent publication track record in venues such as ICCV, CVPR, ECCV, BMVC, ICRA, IROS, NIPS, ICML, TPAMI and IJCV.
· Strong development skills, preferably in C/C++ and/or python.
· Highly motivated.

To submit an application, please send your CV, cover letter, and the name of at least one reference to naila....@naverlabs.com and dl_can...@naverlabs.com.
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About NAVER LABS

NAVER LABS is the R&D division of NAVER Corporation, Korea’s leading internet company, operating the nation’s top search portal “NAVER,” and other innovative services in the global market including mobile messenger LINE, video messenger SNOW and community app BAND. It has annual revenue of more than 3 billion euros. NAVER was ranked 9thin Forbes’ list of the most innovative companies of 2018.

NAVER LABS Europe is in Grenoble in the French Alps. We have a multi and interdisciplinary approach to research with scientists in machine learning, computer vision, artificial intelligence, data analytics, natural language processing, ethnography and UX working together to create next generation ambient intelligence technology and services that deeply understand users and their contexts.