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Science & Technology 🏢 Full Time ⭐️ Terverifikasi

Research Associate (Embodied AI)

Nanyang Technological University
Singapore
Estimasi Gaji
SGD 50.000 – SGD 70.000
Terbaru
Live Update
23 Juni 2026
Batas Akhir
23 Jun 2027

Deskripsi Pekerjaan

Join Nanyang Technological University's prestigious School of Electrical and Electronic Engineering as a Research Associate specializing in Embodied AI. This groundbreaking position focuses on advancing dexterous hand robotic manipulation systems that enable robots to interact with the physical world through intelligent sensory-motor integration. You'll work at the forefront of robotics innovation, developing cutting-edge algorithms for tactile perception, adaptive grasping, and real-time decision-making in complex environments. NTU offers a collaborative ecosystem where you'll partner with world-class researchers to translate theoretical concepts into tangible robotic solutions. The role provides unparalleled opportunities to contribute to high-impact research that bridges artificial intelligence and physical embodiment, with potential applications in healthcare, manufacturing, and assistive technologies. We seek passionate individuals who thrive in interdisciplinary settings and are committed to pushing the boundaries of autonomous robotic systems.

Tanggung Jawab

  • Design and implement experimental frameworks for dexterous robotic manipulation tasks
  • Develop novel algorithms for tactile sensing, object recognition, and force control
  • Conduct empirical testing and performance analysis of embodied AI systems
  • Collaborate with cross-functional teams to integrate perception and control modules
  • Document research outcomes through technical reports, publications, and patent applications
  • Stay current with advancements in embodied AI, reinforcement learning, and robotics
  • Assist in grant proposal preparation and project management

Kualifikasi

  • Master's degree in Robotics, Computer Science, Electrical Engineering, or related field
  • Strong background in machine learning and computer vision
  • Hands-on experience with robotic manipulation systems and simulation tools
  • Proficiency in Python/C++ and robotics frameworks (ROS, Gazebo)
  • Excellent analytical and problem-solving abilities
  • Strong written and verbal communication skills
  • Research experience with tactile sensing or dexterous manipulation preferred
  • Demonstrated ability to work independently and in collaborative environments

Keahlian yang Dibutuhkan

robotics embodied AI dexterous manipulation machine learning computer vision ROS Python C++ tactile sensing reinforcement learning object recognition force control

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