Applied Scientist Intern: Multi-view Human Reconstruction

**Overview**

Join a strong research team advancing **human‑centric computer vision** using state‑of‑the‑art, transformer‑based models and a **high‑fidelity synthetic data generation pipeline** . You’ll work on unified approaches to **monocular and multi‑view human reconstruction** , with opportunities to explore models that operate consistently across **hands, faces, and full bodies** —either within a single architecture or through tightly aligned components where needed.

**Responsibilities**

+ Focus on modelling and algorithmic innovation using high‑quality synthetic multi‑view data.
+ Research and develop novel transformer architectures supporting both monocular and multi‑view imagery.
+ Design models that unify face, hand, and body representation within a single framework.
+ Investigate scalable approaches for multi‑person scenarios.
+ Rigorously evaluate proposed methods on both synthetic and real‑world benchmarks

**Qualification...