Robotics Research Scientist – Dexterous Robotic Manipulation

Zürich - Switzerland

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

Huaweis vision is to enrich life through communication and intelligent innovation.
We are a fast-growing global leader in information and communications technology (ICT) driving breakthroughs in AI cloud computing and smart device technologies. Through our three major business groupsCarrier Enterprise and Consumerwe provide advanced network infrastructure cloud and AI computing platforms and industry-leading devices such as smartphones tablets watches and so on.

Our technologies power 45 of the worlds top 50 telecom operators and one-third of the global population benefits from Huawei innovations. With operations in over 170 countries and a global workforce of more than 180000 employeesover 80000 of whom are engaged in research and developmentwe are deeply committed to pushing the boundaries of technology.

At Huawei you will be part of a dynamic diverse and inclusive environment collaborating with talented professionals from over 150 nationalities. We actively invest in and reward talent. If youre passionate about AI computing and solving challenging problems through innovation youll find unparalleled opportunities to grow lead and make global impact with us.

Huawei Switzerland Research Center in Zurich is a leading European hub for cutting-edge computer vision and AI research. The Computer Vision Lab at Huawei Zurich is seeking Robotics Research Scientists with strong expertise in learning-based control for dexterous robotic manipulation grounded in computer vision and haptic sensing. You will be at the forefront of designing intelligent control systems that enable robots to perform complex human-like manipulation tasks in both simulated and real-world environments.

You will work closely with a multidisciplinary team of researchers and engineers to develop innovative algorithms and systems for learning to control robotic manipulators through imitation learning reinforcement learning learning from demonstration and teleoperation frameworks.

Key Responsibilities

Conduct cutting-edge research on learning-based robotic control algorithms for dexterous manipulation tasks.
Develop and deploy methods that combine visual perception and haptic feedback for real-time control.
Design and implement imitation learning and reinforcement learning pipelines for real and simulated robots.
Researching and adapting VLA foundation models for real-world robotic control tasks.
Build and optimize teleoperation systems to enable human demonstrations for robotic learning.
Create and manage large-scale robotic simulation environments for data generation and pretraining.
Transition algorithms from simulation to real robot platforms and validate their performance in real-world settings.
Publish in top-tier robotics and AI conferences and journals (e.g. ICRA RSS CoRL NeurIPS CVPR).

Preferred Qualifications

PhD or Master degree in Robotics Computer Vision Machine Learning or a related field.
Strong experience in robotic manipulation learning-based control and multi-modal sensor fusion.
Proficiency in imitation learning RL and learning by demonstration for control tasks.
Hands-on experience with robot simulators (e.g. MuJoCo Isaac Gym Gazebo) and real robotic platforms (e.g. Franka Emika UR Allegro Hand Shadow Hand).
Familiarity with teleoperation systems VR-based demonstrations or haptic telepresence.
Solid programming skills in Python and C with relevant frameworks (e.g. ROS PyTorch TensorFlow).
Demonstrated ability to work in cross-functional research teams and contribute to high-impact publications

Why to join us:

Collaborate with world-class scientists and engineers in an open curiosity-driven environment;
Access to state-of-the-art technology and tools;
Opportunities for professional growth and development;
Competitive salary and a high quality of life in Zurich at the center of Europe;
Last but certainly not least: be part of innovative projects that make a difference.

Huaweis vision is to enrich life through communication and intelligent innovation.We are a fast-growing global leader in information and communications technology (ICT) driving breakthroughs in AI cloud computing and smart device technologies. Through our three major business groupsCarrier Enterpris...

Key Responsibilities

Conduct cutting-edge research on learning-based robotic control algorithms for dexterous manipulation tasks.
Develop and deploy methods that combine visual perception and haptic feedback for real-time control.
Design and implement imitation learning and reinforcement learning pipelines for real and simulated robots.
Researching and adapting VLA foundation models for real-world robotic control tasks.
Build and optimize teleoperation systems to enable human demonstrations for robotic learning.
Create and manage large-scale robotic simulation environments for data generation and pretraining.
Transition algorithms from simulation to real robot platforms and validate their performance in real-world settings.
Publish in top-tier robotics and AI conferences and journals (e.g. ICRA RSS CoRL NeurIPS CVPR).

Preferred Qualifications

PhD or Master degree in Robotics Computer Vision Machine Learning or a related field.
Strong experience in robotic manipulation learning-based control and multi-modal sensor fusion.
Proficiency in imitation learning RL and learning by demonstration for control tasks.
Hands-on experience with robot simulators (e.g. MuJoCo Isaac Gym Gazebo) and real robotic platforms (e.g. Franka Emika UR Allegro Hand Shadow Hand).
Familiarity with teleoperation systems VR-based demonstrations or haptic telepresence.
Solid programming skills in Python and C with relevant frameworks (e.g. ROS PyTorch TensorFlow).
Demonstrated ability to work in cross-functional research teams and contribute to high-impact publications

Why to join us:

Collaborate with world-class scientists and engineers in an open curiosity-driven environment;
Access to state-of-the-art technology and tools;
Opportunities for professional growth and development;
Competitive salary and a high quality of life in Zurich at the center of Europe;
Last but certainly not least: be part of innovative projects that make a difference.