Research Fellow (4D Dynamic Scene Generation) Full-time

Research Fellow In Artificial Intelligence

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world's largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

Artificial Intelligence (AI) related fields, including machine learning, computer vision, adaptive data modeling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems, which can benefit a wide range of real-world applications.

This Research Fellow will work with our team to conduct research in generative models for 4D objects or scenes, with a focus on advancing state-of-the-art methods.

Key Responsibilities:

• Conduct independent and collaborative research in generative models for 4D objects or scene, with a focus on advancing state-of-the-art methods.
• Design, implement, and evaluate novel algorithms for 4D object or scene generation.
• Supervise and mentor undergraduate and graduate students, providing technical guidance and supporting their academic development.
• Assist in the preparation of competitive research proposals and grant applications, including literature review, preliminary experiments, and drafting of technical sections.
• Support the development, maintenance, and supervision of 4D datasets and experimental pipelines.
• Prepare technical reports, academic manuscripts, and high-quality publications in leading conferences and journals.
• Collaborate closely with faculty members, research fellows, and external partners on interdisciplinary projects.

Job Requirements:

• A PhD's degree in EEE, Computer Science, Computer Engineering, or related disciplines from a reputable university.
• 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.
• 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.
• Experience with proposal writing, project reporting, or supervision of junior researchers is desirable.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU