Applied Scientist Intern: Multi-view Human Reconstruction
at Microsoft
Posted 11 hours ago
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Join a strong research team advancing human-centric computer vision using transformer-based models and a high-fidelity synthetic data generation pipeline. The role focuses on modelling and algorithmic innovation for monocular and multi-view human reconstruction, with opportunities to explore models that unify hands, faces, and full bodies. You will research and develop novel transformer architectures supporting both monocular and multi-view imagery and design models that unify face, hand, and body representations within a single framework. You will rigorously evaluate proposed methods on both synthetic and real-world benchmarks, with a focus on scalable approaches for multi-person scenarios.
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
Qualifications
- Currently enrolled in a PhD program (senior stage), or a Master’s student with a strong publication record.
- Peer reviewed publications or preprints in top venues (e.g., ICCV, CVPR, SIGGRAPH, ECCV, NeurIPS, ICLR) or equivalent evidence of research impact.
- Research experience in computer vision and deep learning, including training, fine tuning, and evaluation of modern vision models.
- Strong skills in experimental design, quantitative analysis, and clear scientific communication.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
