Research Engineer II (Computer Science/Robotics/Artificial Intelligence/Electrical Engineering)

Nanyang Technological University; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Nanyang Technological University (NTU Singapore) invites applications for a Research Engineer to advance NRFI project work on generative 3D/4D scene modelling, world models, and embodied intelligence. The role focuses on building practical learning-based systems and contributing to publications and project deliverables.

The successful candidate will develop ML methods, run experiments, and integrate prototypes in simulation or robotic platforms, collaborating with a diverse research team at CCDS

Qualifications

• Master's degree in Computer Science, Robotics, AI, Electrical Engineering, or related field.
• Strong foundations in ML, DL, CV, and 3D/4D vision, RL, or robotics.
• Proficiency in Python and PyTorch; experience with C++, ROS, Isaac Gym, or related tools is advantageous.
• Experience building and evaluating research systems, data pipelines, and reproducible experiments.

Responsibilities

• Develop and implement ML methods for generative 3D/4D scene representations and embodied AI.
• Build scalable data, training, and evaluation pipelines using PyTorch.
• Design experiments for geometric consistency, temporal dynamics, and physical plausibility.
• Integrate research prototypes in simulation and robotic platforms; document results.

Skills

Machine learning

Deep learning

Computer vision

3D/4D vision

Reinforcement learning

Robotics

Education

Master's degree in Computer Science, Robotics, Artificial Intelligence, Electrical Engineering, or related field

Tools

Python

PyTorch

C++

ROS

Isaac Gym

Job description

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world's top universities. NTU's College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. MMLab@NTU in the College of Computing and Data Science advances computer vision, multimodal AI, generative AI, and embodied intelligence. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU's College of Computing and Data Science is an exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking a Research Engineer to support the NRFI project A New Intrinsic-Aware Visual Generation Paradigm. The successful candidate will develop practical learning-based systems for generative 3D/4D scene modelling, world models, and embodied intelligence.

Key Responsibilities:

• Develop and implement machine-learning methods for generative 3D/4D scene representations, world models, and embodied AI.
• Build scalable data, training, and evaluation pipelines using PyTorch and related scientific-computing tools.
• Design and conduct experiments for geometric consistency, temporal dynamics, physical plausibility, and downstream embodied tasks.
• Integrate and evaluate research prototypes in simulation and, where relevant, on robotic platforms.
• Document methods and results, and contribute to technical reports, research publications, and project deliverables.

Job Requirements:

• A Master's degree in Computer Science, Robotics, Artificial Intelligence, Electrical Engineering, or a related field.
• Strong foundations in machine learning, deep learning, computer vision, and at least one of 3D/4D vision, reinforcement learning, or robotics.
• Proficiency in Python and PyTorch; experience with C++, ROS, Isaac Gym, or related robotics and simulation tools is advantageous.
• Practical experience developing and evaluating research systems, including data pipelines, model training, ablation studies, and reproducible experiments.
• Experience in embodied AI, world models, robot learning, humanoid control, sim-to-real transfer, or generative 3D/4D modelling is desirable.
• Strong analytical, communication, and teamwork skills, with the ability to work independently and learn new methods quickly.

We regret 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 About NIE About RSIS About LKCMedicine About NTUItive