Description
We are seeking a PhD or MS researcher to join Adobe Research London and explore the intersection of 3D, Image, Video, and Generative AI.
The goal is to bridge the compact, physically consistent structure of 3D representations with the rich temporal priors of generative video models.
The Research Focus:
- Investigate compact 3D representations (e.g., neural fields, Gaussian splatting, explicit geometry) alongside video diffusion/autoregressive models to unlock precise spatial and temporal control.
- Explore hybrid pipelines integrating physically based rendering (PBR) with generative/agentic workflows.
- Develop novel methods and target impactful publications at top-tier venues (SIGGRAPH, ACM TOG, CVPR, ICCV, NeurIPS, ICLR).
- Prioritize research problems that can serve as core chapters of your dissertation and establish sustained collaborations.
Resources & Environment:
- Access to large-scale GPU clusters and specialized datasets to train and evaluate state-of-the-art models.
- 1:1 mentorship from senior Adobe research scientists, with a direct pipeline to transfer groundbreaking ideas to creative tools used by millions worldwide.
Qualifications:
- Currently pursuing a PhD or MS in Computer Science, specializing in Computer Vision, Graphics, Machine Learning, or a closely related field.
- Solid track record or coursework in generative modeling (diffusion / flow matching / autoregressive), computer graphics / vision, and/or 3D scene representation.
- Proficient in modern deep learning frameworks (PyTorch) with strong experimental rigor.
What to expect from the recruitment process:
- 60 minutes Technical Interview with the team.
- 45 minutes Soft-Skills Interview with the Hiring Manager.
Benefits:
- Annual pay: £75,000
- Hybrid work arrangement: 3 days per week in the office, 2 days per week work from home
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