Research Assistant (3D Reconstruction)

Nanyang Technological University; Singapore; On-site; SGD 40,000 - 54,000; Full time

Job summary

NTU Singapore's School of Electrical and Electronic Engineering invites applications for a Research Assistant role to explore 3D reconstruction, with emphasis on advanced 3D Gaussian Splatting techniques for dynamic and streaming environments. The position involves computational design and experimentation in embodied perception contexts.

You will contribute to algorithm development, data collection, and analysis, while supporting lab activities and collaboration with a multidisciplinary team.

Qualifications

• 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.

Responsibilities

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

Skills

Python

Deep learning

Computer vision

World models

Communication

Self-motivation

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 A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg

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