[Internship] R&D Developer Assistant - Real-Time Controllable Ocean Synthesis (F/M/NB)

6 Minutes ago • All levels
Game Engine

Job Description

This research-oriented internship aims to explore the use of neural embeddings for real-time controllable ocean synthesis in video games, overcoming the computational cost of full simulation. The intern will investigate learning a latent control space from offline simulations, stored as textures, and explore driving visual effects for rendering using neural BRDF modeling. Responsibilities include surveying literature, identifying methods, and implementing demonstrators.
Must Have:
  • Master student in second year of a research-oriented master
  • Solid foundation in machine learning, linear algebra, and optimization
  • Knowledge of computer graphics fundamentals (e.g., rendering pipelines, shading, or texture mapping)
  • Good communication skills in English, written and spoken
Perks:
  • Hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work-life balance.

Add these skills to join the top 1% applicants for this job

communication
rendering
game-texts
lighting-shading
prototyping
linear-algebra
machine-learning

COMPANY DESCRIPTION

Ubisoft Bordeaux

Founded in 2017 by a handful of Ubisoft experts, our studio now counts over 400 talents from 20 different nationalities. Our teams contribute to some of Ubisoft’s biggest franchises: leading the production of Assassin’s Creed Mirage in 2023, working on Assassin’s Creed Shadows and the Claws of Awaji expansion, as well as on Beyond Good & Evil 2.

Beyond our AAA productions, we also drive technological innovation within the group through our expertise in the Anvil game engine and Ubisoft’s Online Services. We have also established a dedicated R&D division, La Forge, which brings together Ubisoft engineers and academic researchers to collaborate on prototypes that support game development, particularly in the field of AI.

In 2024, we inaugurated our new offices in the Bastide-Niel eco-district, designed to foster the development of Ubisoft’s best gaming experiences and technologies in an exceptional, accessible, and central environment.

JOB DESCRIPTION

Fully simulating ocean dynamics in a real-time context is computationally too expensive to achieve for most interactive applications such video games. To overcome this, procedural ocean synthesis techniques that aim at reproducing wave behavior and surface appearance can be used. While existing methods like fast orientable aperiodic ocean synthesis using tiling and blending [1] offer some control (here on wave orientation), they are typically static and not responsive to dynamic changes such as terrain deformation, wind variations and user interactions.

The goal of this internship is to investigate how neural embeddings can be used to learn a latent control space for ocean synthesis. These embeddings would be trained from offline simulation and stored as textures leveraging the fact that recent work on real-time neural materials [2] demonstrates how such latent spaces can be efficiently stored and accessed in a real-time context. Building on this, a secondary goal is to explore how these latent embeddings can also drive visual effects for rendering by integrating neural BRDF modeling [3] for water specific effects.

The scope of this internship is research oriented. The student will be expected to survey the literature on ocean synthesis, latent space controllability, and neural rendering techniques. They will identify relevant methods and limitations in existing approaches, and implement small demonstrators to explore how these ideas can be adapted to real-time applications.

References

1. Lutz N., Schoentgen A., and Gilet G. "Fast orientable aperiodic ocean synthesis using tiling and blending." ACM on Computer Graphics and Interactive Techniques (2024)

2. Weinreich C., De Oliveira L., Houdard A., and Nader G. “Real‐Time Neural Materials using Block‐Compressed Features” Computer Graphics Forum (2024)

3. Zeltner T. et al. "Real-time neural appearance models." ACM Transactions on Graphics (2024)

QUALIFICATIONS

  • Master student in second year of a research-oriented master
  • Solid foundation in machine learning, linear algebra, and optimization.
  • Knowledge of computer graphics fundamentals (e.g., rendering pipelines, shading, or texture mapping).
  • Good communication skills in English, written and spoken.

ADDITIONAL INFORMATION

  • Contract : 6 months Internship
  • Location : role based in Bordeaux – France
  • Remote: We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work-life balance. Note, that some roles are fully office-based and are not eligible for hybrid work.

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