Senior 3D Reconstruction Scientist: Radiance Fields

SpAItial AI

Greater London

On-site

GBP 90,000 - 140,000

Full time

6 days ago
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Job summary

SpAItial is seeking a senior Research Scientist to push the state of the art in 3D reconstruction, including Gaussian splats, radiance fields, and neural rendering. You should be capable of choosing the right representation and method for a problem, and then improving on it.

This is a hands-on, senior role with a track record in reconstruction across multiple representations. You will collaborate with research and engineering colleagues to bring successful methods into production systems, and

Qualifications

  • PhD in computer vision, graphics, or a related field.
  • Deep, hands-on knowledge of modern scene representations (Gaussian splats, radiance fields) and their trade-offs.
  • Research experience across the reconstruction spectrum, from per-scene optimization to feed-forward models.
  • Deep understanding of multi-view geometry, camera models and rendering.
  • Strong experience with deep learning frameworks.

Responsibilities

  • Advance the state of the art in 3D reconstruction, from research ideas to working methods.
  • Work across the full range of reconstruction problems (geometry, appearance, materials, lighting and dynamics), including novel view synthesis and neural rendering.
  • Design losses, priors, and optimization strategies to improve fidelity, robustness and efficiency.
  • Build rigorous evaluations on public and internal benchmarks to drive decisions.
  • Collaborate with research and engineering colleagues to bring successful methods into production systems.

Skills

Scene representations
Reconstruction research
Multi-view geometry
Neural rendering

Education

PhD in computer vision/graphics

Job description

SpAItial is seeking a senior Research Scientist to push the state of the art in 3D reconstruction, including Gaussian splats, radiance fields, and neural rendering. You should be capable of choosing the right representation and method for a problem, and then improving on it.

This is a hands-on, senior role with a track record in reconstruction across multiple representations. You will collaborate with research and engineering colleagues to bring successful methods into production systems, and

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