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Job Description & How to Apply Below
In this role, you will focus on creating and refining models for 3D and 4D reconstruction using state-of-the-art techniques. Collaborate with engineers to embed these algorithms into comprehensive training systems for dynamic urban landscapes. You will also mentor junior staff, fostering innovative approaches and enhancing research quality.
Key Responsibilities:
• Conduct applied research in neural scene reconstruction
• Develop scalable reconstruction systems
• Integrate algorithms into distributed training workflows
• Publish research contributions at leading conferences
• Mentor and guide junior researchers
Requirements:
• Ph.D. in Computer Vision, Robotics, or equivalent
• Expertise in Python & PyTorch, with solid software engineering skills
• Experience in robotics and representation learning
• Proven success in collaborative research environments
• Knowledge in working with large-scale datasets
Leverage your expertise to drive advancements in neural reconstruction for autonomous technologies and impactful innovations.
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