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Open nowPosted 3 days ago

Senior Scientist - Robotic Arm Manipulation

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 12,000 a month
Where
Central, Singapore
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Your applicationOpen nowSenior Scientist - Robotic Arm ManipulationMyCareersFuture · Central, Singapore

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This job: posted 3 days ago

The posting

We are partnering with a leading research and innovation organization to hire a Senior Scientist to advance next-generation robotics through Embodied AI and intelligent robot learning.

This role focuses on developing advanced robotic capabilities, particularly Learning from Demonstration (LfD), contact-rich manipulation, and adaptive skill acquisition for real-world industrial applications. The successful candidate will contribute to applied R&D initiatives, bridging advanced research with practical deployment in manufacturing environments.

Key Responsibilities:

  • Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) and contact-rich manipulation.
  • Design and execute experiments to collect and analyse demonstration data for intelligent robotic behaviors.
  • Develop and implement machine learning and deep learning algorithms for robot perception, manipulation, and decision-making.
  • Translate research outcomes into functional prototypes and deployable solutions.
  • Integrate multimodal perception, motion planning, and force/torque feedback into robotic systems.
  • Collaborate with cross-functional teams including robotics engineers, software developers, and researchers.
  • Engage with stakeholders and industry partners to support real-world deployment.

Requirements

  • PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
  • Master's Degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering can be considered for Engineer role
  • Hands-on experience working with robot arms or robotic manipulators.
  • Exposure to Learning from Demonstration (LfD), imitation learning, or robot learning techniques.
  • Practical experience working with real robotic hardware (not purely simulation or theoretical research).
  • Strong applied research mindset with ability to translate research into real-world solutions.
  • Proficiency in Python and/or C++.
  • Experience with ROS/ROS2 and robotics simulation environments (e.g., Isaac Sim, Gazebo, Mujoco).
  • Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
  • Exposure to industrial automation or manufacturing environments is advantageous.
  • Strong collaboration and communication skills.

UEN:202329526G

EA Licence: 23S2061

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