Senior/ Scientist, Robotics (Robotic Arm Manipulation)

Cygnify; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Cygnify is seeking a Senior Scientist to advance next-generation robotics through Embodied AI and intelligent robot learning in Singapore.

The role focuses on Learning from Demonstration (LfD), contact-rich manipulation, and adaptive skill acquisition for real-world industrial applications, bridging research with deployment in manufacturing environments.

You will design experiments, develop ML/DL models, and translate research into deployable robotic solutions within manufacturing settings.

Qualifications

• Hands-on experience 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).
• 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.

Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on LfD and contact-rich manipulation.
• Design and execute experiments to collect and analyse demonstration data for intelligent robotic behaviour.
• Develop and implement ML/DL 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.

Skills

Learning from Demonstration (LfD)

Imitation learning

Robot learning techniques

Python

C++

ROS/ROS2

Machine learning

Deep learning

Education

PhD in Robotics or related field

Tools

Isaac Sim

Gazebo

Mujoco

ROS/ROS2

Job description

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

.
Key Responsibiliti

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

nt.
Requirem

• ents
  Hands-on experience working with robot arms or robotic manipula
• tors.Exposure to Learning from Demonstration (LfD), imitation learning, or robot learning techni
• ques.Practical experience working with real robotic hardware (not purely simulation or theoretical resea
• rch).Strong applied research mindset with ability to translate research into real-world solut
• ions.PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related f
• ield.Proficiency in Python and/or
• C++.Experience with ROS/ROS2 and robotics simulation environments (e.g., Isaac Sim, Gazebo, Muj
• oco).Knowledge of deep learning frameworks such as TensorFlow or PyT
• orch.Exposure to industrial automation or manufacturing environments is advantag