Research Fellow

**Job Description**
This Research Fellow position focuses on conducting research in Artificial Intelligence (AI) related fields, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems, benefiting a wide range of real-world applications. The role specifically involves research in generative models for 4D objects or scenes, with an emphasis on advancing current state-of-the-art methods.

**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) and 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.
• Desirable experience with proposal writing, project reporting, or supervision of junior researchers.

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

**Experience**
Other:
• At least two publications in a top-tier CCF-A conference or journal (e.g., CVPR, ICCV, ECCV, TPAMI, NeurIPS, ICML). Additional publications are an advantage.

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