Senior/Scientist Robotics (Robotic Arm Manipulation)

Cygnify; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

Cygnify seeks a Senior Scientist to advance Embodied AI and intelligent robot learning. You will drive applied R&D on LfD, contact-rich manipulation, and skill acquisition for real-world manufacturing deployment.

You will build and evaluate demonstrations, develop ML and DL solutions, and collaborate across robotics, software, and industry partners to translate research into deployable systems.

Qualifications

• PhD in Robotics, Computer Science, Electrical or Mechanical Engineering or related field.
• Hands-on experience with real robotic hardware and robots arms.

Responsabilités

• Conduct applied R&D in Embodied AI for robotics, focusing on LfD and manipulation.
• Design experiments to collect demonstration data and analyze it for intelligent behaviors.
• Develop ML/DL algorithms for perception, manipulation, and decision-making.
• Translate research outcomes into prototypes and deployable solutions.
• Collaborate with engineers and researchers to integrate systems for real-world use.

Connaissances

Embodied AI

LfD

Robot manipulation

Python

C++

ROS/ROS2

TensorFlow/PyTorch

Industrial robotics

Formation

PhD in Robotics/CS/EE/ME

Outils

ROS/ROS2

Gazebo

Mujoco

Isaac Sim

Description du poste

We are partnering with a leading research and innovation organisation 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.

What You Will Do

• 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 behaviours.
• 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.

What You Will Bring

• 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.
• PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• 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.