Research Engineer II (Robotic Manipulation)

Nanyang Technological University; Singapore; In loco; SGD 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Nanyang Technological University in Singapore invites applications for a Research Engineer to advance cutting-edge robotic systems under uncertainty. You will design, implement, and experimentally validate algorithms for perception and manipulation, and you will work on software‑hardware integration with ROS/ROS2.

The role requires a Masters in robotics or related field, strong C++/Python skills, Linux, and a track record in open‑source contributions and technical writing.

Competenze

• Master's degree in Robotics, CS, ME or EE required.
• Strong programming in C++ and Python; ROS/ROS2 experience.
• Experience with Linux; open-source contributions desirable.
• Excellent technical writing and collaboration skills.
• Industrial robotics experience preferred.

Mansioni

• Design, implement, and benchmark probabilistic robotics algorithms.
• Develop and maintain open-source ROS/ROS2 software.
• Integrate software with robotic hardware, sensors, actuators.
• Plan and perform experimental validation in lab and field.
• Prepare inventor disclosures and manuscripts for publications.
• Manage laboratory infrastructure and supervise students.

Conoscenze

C++

Python

ROS/ROS2

Linux

Probabilistic robotics

State estimation

Robotics perception

Technical writing

Git

Formazione

Master's degree in Robotics, Computer Science, Mechanical Engineering, or Electrical Engineering

Strumenti

Git

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

Key responsibilities of the research engineer is to contribute to the following areas.

• 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.

We regret to inform that only shortlisted candidates will be notified.

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.
• Industrial experience in relevant domain.

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.

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