job description
Join Nanyang Technological University (NTU), a globally top-ranked engineering institution, in pioneering cutting-edge AI research for autonomous vehicles and robotic systems. This is a unique opportunity to work remotely from Bali (Canggu, Ubud, Denpasar, or surrounding areas) while contributing to groundbreaking projects that shape the future of automation, machine learning, and intelligent systems.
As a Research Assistant, you will collaborate with leading experts in AI, robotics, and computer science, developing innovative solutions for real-world challenges in autonomous navigation, computer vision, and human-robot interaction. NTU’s world-class facilities and interdisciplinary approach provide an unparalleled environment for professional growth and impactful research.
Ideal for passionate AI/ML engineers, robotics enthusiasts, or computer science graduates seeking a dynamic role with flexibility to work from Bali’s vibrant tech hubs. Be part of a team that pushes the boundaries of technology while enjoying the work-life balance of tropical Indonesia.
Responsibility
- Conduct research and development in AI-driven autonomous systems, including algorithm design, simulation, and real-world testing.
- Collaborate with cross-functional teams to integrate machine learning models into robotic platforms for navigation and decision-making.
- Develop and optimize computer vision and sensor fusion techniques for autonomous vehicles.
- Publish findings in peer-reviewed journals and present at international conferences.
- Assist in grant writing and proposal development for funded research projects.
- Implement and test reinforcement learning or deep learning frameworks for adaptive robotic behaviors.
- Document code, experiments, and results with rigorous scientific methodology.
- Stay updated with emerging trends in AI, robotics, and automation to inform research directions.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- Proven experience in AI/ML frameworks (TensorFlow, PyTorch, ROS) and programming languages (Python, C++, MATLAB).
- Strong background in algorithms, data structures, and computational mathematics.
- Experience with autonomous systems, SLAM, or path planning is a plus.
- Familiarity with robotics hardware (e.g., drones, self-driving cars, or industrial robots).
- Excellent analytical and problem-solving skills with a research-oriented mindset.
- Ability to work independently and collaboratively in a remote setting.
- Strong written and verbal communication skills in English.