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Full-time Polytechnic / Undergraduate

Modelling and Simulation Intern

4-6 months

At AETHER, you’ll be working on developing innovative procedural generation systems for urban environments in Unreal Engine. You will contribute to enhancing AETHER’s simulation capabilities through the development of advanced procedural generation techniques.

Key Responsibilities

Develop and implement procedural generation algorithms for creating realistic urban environments in Nvidia Isaac and Unreal Engine
Curate and manage 3D assets for use in procedural generation systems
Design and implement structured methods for defining city/urban environment layouts
Create algorithms to compose convincing city/urban environment plans
Develop systems to procedurally compose 3D assets following generated plans
Collaborate with AETHER by RAiD and utilize tools from the AIR Laboratory at SUTD
Integrate machine learning techniques for layout generation and environment composition

Required Qualifications

  • Strong experience with Unreal Engine and its development environment
  • Solid understanding of 3D modeling and procedural generation techniques
  • Knowledge of computer graphics fundamentals
  • Programming proficiency for implementing generation algorithms
  • Understanding of machine learning concepts, particularly in generative algorithms
  • Experience with version control systems (e.g., Git) for collaborative development
  • Strong problem-solving skills and attention to detail

Preferred Experience

  • + Experience with reinforcement learning and its applications in simulation environments
  • + Knowledge of urban planning and architectural principles
  • + Familiarity with different procedural generation techniques used in games and simulations
  • + Experience with generative AI models (e.g., diffusion networks, GANs)
  • + Background in creating intermediate representation formats for 3D environments
  • + Understanding of performance optimization in real-time 3D environments

Ready to Apply?

Join us in shaping the future of defense technology.

Apply Now!

Why AETHER?

  • Gain hands-on experience in developing cutting-edge procedural generation systems
  • Work with state-of-the-art simulation technologies in collaboration with SUTD researchers
  • Learn to integrate machine learning techniques with traditional procedural generation methods
  • Develop expertise in creating scalable and realistic virtual environments for reinforcement learning
  • Contribute to advanced simulation capabilities for digital twin experimentation
  • Collaborate with experts in the field