Research Fellow (4D Dynamic Scene Generation)
Research Fellow (4D Dynamic Scene Generation)
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Job Description
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 3000 undergraduates students and 2000 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 worlds 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.
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:
The roles of this position include:
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 PhDs 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: NTUEmployment Type
Full-Time
