Research Scientist in 3D Vision
at
NAVER LABS Europe
Description
We are inviting applications from Research Scientists at any level or career stage to join the 3D Vision team at NAVER LABS Europe.
What we do:
The 3D Vision team is at the forefront of developing cutting-edge techniques for understanding and interpreting the three-dimensional aspects of the visual world. Our work encompasses the design, implementation, and optimization of neural networks, with a particular focus on models such as Transformers, for advanced 3D vision tasks. Our team recently achieved an important breakthrough with DUSt3R (github.com/naver/dust3r), an all-in-one foundational model for geometric 3D vision. Our objective is now to achieve unprecedented speeds in both training and test phases of DUSt3R or similar models, leveraging both high-performance computing (HPC) on multi-node architectures and specialized hardware. Our activities extend from theoretical advancements to practical, high-impact applications across various domains. Collaboration is at our core, both within NAVER LABS Europe and with our Korean counterparts (NAVER LABS in Korea), driving innovation in 3D vision technology with a particular focus on robotic applications and augmented reality.
What we expect (depending on your career stage):
- A PhD in computer science, electrical engineering, or a related field, with a focus on HPC, neural networks, or 3D vision.
- Deep understanding and substantial experience in high-performance computing (HPC) and multi-node compute strategies.
- Expertise in neural network architecture, preferably in the context of 3D vision tasks.
- Strong background in CUDA optimization and parallel computing.
- Excellent programming skills in Python and proficiency in PyTorch.
- Experience in developing and optimizing algorithms for distributed systems.-
- Knowledge of and experience with GPU computing and architectures.
- A demonstrated track record of research excellence, with contributions to major conferences and journals in the fields of computer vision (CVPR, ICCV, ECCV), machine learning (NeurIPS, ICML, ICLR), and HPC communities.
- Ability to work collaboratively within a multidisciplinary team environment and contribute to an inclusive team culture.
Application instructions
You can apply for this position online. Don't forget to upload your CV and cover letter before you submit. Incomplete applications will not be accepted.
About NAVER LABS
NAVER is the #1 Internet portal in Korea with activities that span a wide range of businesses including search, commerce, content, financial and cloud platforms.
NAVER LABS, co-located in Korea and France, is the organization dedicated to preparing NAVER’s future. NAVER LABS Europe is located in a spectacular setting in Grenoble, in the heart of the French Alps. Scientists at NAVER LABS Europe are empowered to pursue long-term research problems that, if successful, can have significant impact and transform NAVER. We take our ideas as far as research can to create the best technology of its kind. Active participation in the academic community and collaborations with world-class public research groups are, among others, important tools to achieve these goals. Teamwork, focus and persistence are important values for us.
NAVER LABS Europe is an equal opportunity employer.
To make robots autonomous in real-world everyday spaces, they should be able to learn from their interactions within these spaces, how to best execute tasks specified by non-expert users in a safe and reliable way. To do so requires sequential decision-making skills that combine machine learning, adaptive planning and control in uncertain environments as well as solving hard combinatorial optimisation problems. Our research combines expertise in reinforcement learning, computer vision, robotic control, sim2real transfer, large multimodal foundation models and neural combinatorial optimisation to build AI-based architectures and algorithms to improve  robot autonomy and robustness when completing everyday complex tasks in constantly changing environments.
VISION
The research we conduct on expressive visual representations is applicable to visual search, object detection, image classification and the automatic extraction of 3D human poses and shapes that can be used for human behavior understanding and prediction, human-robot interaction or even avatar animation. We also extract 3D information from images that can be used for intelligent robot navigation, augmented reality and the 3D reconstruction of objects, buildings or even entire cities.
Our work covers the spectrum from unsupervised to supervised approaches, and from very deep architectures to very compact ones. We’re excited about the promise of big data to bring big performance gains to our algorithms but also passionate about the challenge of working in data-scarce and low-power scenarios.
Furthermore, we believe that a modern computer vision system needs to be able to continuously adapt itself to its environment and to improve itself via lifelong learning. Our driving goal is to use our research to deliver embodied intelligence to our users in robotics, autonomous driving, via phone cameras and any other visual means to reach people wherever they may be.
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