job description
Join Singapore Management University’s School of Computing and Information Systems (SCIS) as a Research Scientist on a 1-year contract to pioneer cutting-edge research in 3D world models, AI, and immersive technologies. This is a unique opportunity to contribute to groundbreaking projects that bridge computer vision, machine learning, and spatial computing—all while working in the vibrant, innovation-driven environment of Bali, Indonesia.
As part of a dynamic research team, you will design, develop, and evaluate novel algorithms to enhance digital world representations, with applications in robotics, AR/VR, autonomous systems, and beyond. Your work will push the boundaries of how machines perceive and interact with 3D environments, with potential for high-impact publications and real-world implementations.
We offer a collaborative, interdisciplinary workspace, access to state-of-the-art computational resources, and the flexibility of remote work from Bali—a hub for digital nomads and tech innovators. Whether you’re advancing your academic career or transitioning into industry, this role provides unparalleled exposure to leading-edge research and global networks.
Responsibility
- Conduct high-quality research on 3D world models, including scene understanding, reconstruction, and generative modeling.
- Develop and implement machine learning algorithms (e.g., neural radiance fields, transformers) for spatial data analysis.
- Collect, preprocess, and annotate 3D datasets (LiDAR, RGB-D, synthetic) to support experimental validation.
- Publish findings in top-tier conferences/journals (e.g., CVPR, NeurIPS, SIGGRAPH) and present at academic/industry events.
- Collaborate with cross-functional teams, including faculty, PhD students, and industry partners, to translate research into prototypes.
- Optimize models for real-time performance and scalability in resource-constrained environments.
- Document code, methodologies, and results with reproducibility and open-science principles in mind.
- Stay abreast of emerging trends in AI, computer vision, and 3D graphics to inform research direction.
Qualifications
- PhD or Master’s degree in Computer Science, Robotics, AI, or a related field (or equivalent industry experience).
- Proven track record in 3D vision, computational geometry, or deep learning (evidenced by publications, GitHub repos, or projects).
- Proficiency in Python, PyTorch/TensorFlow, and libraries like Open3D, PyTorch3D, or Blender.
- Experience with 3D data pipelines (e.g., point cloud processing, mesh generation, SLAM).
- Strong mathematical foundation in linear algebra, probability, and optimization.
- Excellent written and verbal communication skills for technical and non-technical audiences.
- Ability to work independently in a remote setting while contributing to team goals.
- Familiarity with cloud computing (AWS/GCP) or GPU-accelerated frameworks is a plus.