Research Engineer II (Physical AI)

Nanyang Technological University; Singapore; In loco; SGD 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

NTU Singapore’s MAE invites applications for a Research Engineer to advance cutting-edge robotic systems under uncertainty. The role emphasizes designing and validating algorithms, building robust open-source software, and integrating software with hardware in high-performance labs.

You will contribute to publications and patent activity while mentoring student researchers and ensuring safety and compliance in a dynamic lab environment.

Competenze

• Master's degree in a related field required.
• Strong C++ and Python programming skills.
• Hands-on ROS/ROS2 and Linux experience.
• Experience in perception, state estimation, computer vision, or robotic manipulation under uncertainty preferred.
• Open-source contributions or patents desirable.

Mansioni

• Design, implement, and benchmark probabilistic robotics algorithms.
• Lead development and release of ROS/ROS2 packages and libraries.
• Integrate software with robotic manipulators, sensors, and actuators.
• Plan experiments and evaluate perception-action loops with multi-modal data.
• Draft invention disclosures and contribute to robotics publications.
• Manage laboratory infrastructure and supervise student researchers.

Conoscenze

C++

Python

ROS/ROS2

Git

Linux

Technical writing

Team collaboration

Formazione

Master's degree in Robotics, CS, Mechanical Eng, or Electrical Eng

Strumenti

ROS/ROS2

Git

Linux

Descrizione del lavoro

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research.

We are looking for a Research Engineer to conduct cutting-edge research and software/hardware development in robotic systems operating under uncertainty. The role will focus on designing, implementing, and experimentally validating advanced algorithms in uncertainty-aware robot perception and robust robotic manipulation, directly supporting NTU’s commitment to advancing world-class robotics research and industrial innovation.

Key Responsibilities

• Design, implement, and benchmark algorithms in probabilistic robotics, uncertainty-aware perception, and robust robotic manipulation under real-world uncertainties.
• Lead the development, maintenance, and public release of clean, well-documented open-source software repositories (e.g., ROS/ROS2 packages, Python/C++ libraries).
• Execute software-hardware integration for robotic manipulators, sensors, and actuators to build reliable, high-performance experimental setups.
• Plan and execute experimental validation in laboratory and field settings; evaluate perception-action loops using multi-modal sensor data.
• Draft invention disclosures for patents/IP protection and write research manuscripts for top-tier robotics publications (e.g., ICRA, IROS, RSS, T-RO).
• Manage laboratory infrastructure, ensure compliance with workplace safety standards, and co-guide student researchers.

Job Requirements

• Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related discipline.
• Strong programming proficiency in C++ and Python, with hands-on experience in ROS/ROS2 and Linux environments.
• Solid theoretical foundation or practical experience in robot perception, state estimation, computer vision, or robotic manipulation under uncertainty.
• Experience with open-source software contributions, code versioning (Git), or patent disclosures is highly desirable.
• Excellent technical writing skills, proactive problem-solving mindset, and the ability to work effectively in a collaborative research team.

We regret to inform 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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