Research Fellow

**Job Description**
This research position focuses on Artificial Intelligence (AI) related fields such as machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms to solve ill-posed inverse problems for various real-world applications. The Research Fellow will specifically conduct research in generative models for 4D objects or scenes, aiming to advance state-of-the-art methods in this area.

**Skills & Abilities**
• Strong research background in 3D/4D reconstruction and/or generative models.
• Prior experience in 3D/4D generative models (e.g., Trellis), or large-scale 3D/4D datasets is a significant plus.
• Demonstrated ability to conduct independent research and to translate research ideas into working prototypes.
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Strong programming skills.
• Excellent analytical, problem-solving, and communication skills, both written and verbal.
• Ability to work independently while being an effective team player in collaborative research projects.

**Qualifications**
Required Degree(s) in:
• EEE
• Computer Science
• Computer Engineering
• Related disciplines

**Experience**
Experience Required:
• At least two publications in a top-tier CCF-A conference or journal (e.g., CVPR, ICCV, ECCV, TPAMI, NeurIPS, ICML).
Other:
• Experience with proposal writing, project reporting, or supervision of junior researchers is desirable.

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