Research Assistant (3D Reconstruction)

ntu; Singapore; On-site; SGD 36,000 - 54,000; Full time

Job summary

NTU's School of Electrical and Electronic Engineering invites applications for a Research Assistant to advance 3D reconstruction using Gaussian Splatting in dynamic and streaming scenarios. You will design and implement algorithms for high-fidelity scene understanding in embodied environments.

The role requires a Bachelor's or Master's in Electrical Engineering, Computer Science, or related field, knowledge of world models, computer vision, and deep learning, plus Python programming.

Qualifications

• Bachelor's or Master's degree in a relevant field.
• Knowledge of world models, computer vision and deep learning.
• Good written and oral communication skills.

Responsibilities

• Data collection and processing.
• Conducting experiments and analyzing results.
• Providing general support for the lab.

Skills

World model

Computer vision

Deep learning

Python

Education

Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field

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 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:

• 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: NTU