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.
For more details, please view: https://www.ntu.edu.sg/eee
We are looking for a Research Assistant to conduct research on 3D reconstruction, with a particular focus on developing advanced 3D Gaussian Splatting techniques for dynamic and streaming scenarios. The role will involve designing and implementing novel algorithms for efficient, high-fidelity 3D scene reconstruction and representation, including applications in embodied environments where an agent must continuously perceive, update, and reason about its surrounding world.
Key Responsibilities:
The research assistant will focus on the following tasks
Data collection and processing
Conducting experiments and analyzing results
Providing general support for the lab
Job Requirements:
Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field
Knowledge and experience in world model, computer vision and deep learning
Good written and oral communication skills
Proficiency in basics of programming languages such as Python
Self-Motivated and takes initiative
We regret to inform you that only shortlisted candidates will be notified.
Hiring Institution: NTUNanyang Technological University Singapore, Singapore, SGP Office
Singapore, Singapore
Nanyang Technological University Singapore Office
Singapore
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