Senior Scientist - Robotic Arm Manipulation

CYGNIFY PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

CYGNIFY PTE. LTD. in Singapore is looking for a Senior Scientist to enhance next-generation robotics through Embodied AI. The candidate will focus on Learning from Demonstration (LfD) and adaptive skills for industrial applications.

The ideal applicant will hold a PhD in Robotics or related fields and possess hands-on experience with robot arms, advancing R&D in intelligent robotic capabilities. Proficiency in Python and C++ is necessary, along with experience in robotics simulation environments.

Qualifications

• Hands-on experience working with robot arms or robotic manipulators.
• Practical experience with real robotic hardware.
• Strong applied research mindset.

Responsibilities

• Conduct applied R&D in Embodied AI for robotics.
• Design and execute experiments to analyze demonstration data.
• Develop algorithms for robot perception and decision-making.

Skills

Robotic arms expertise

Learning from Demonstration (LfD)

Python

C++

Collaboration skills

Machine learning

Education

PhD in Robotics or related field

Master's degree in Robotics or related field

Tools

ROS/ROS2

TensorFlow

PyTorch

Isaac Sim

Gazebo

Mujoco

Job description

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.

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.