Job Description

Research engineers are sought to develop new theoretical and computational paradigms in robotic perception for grasping. In particular, work on object pose estimation, grasp estimation and affordance-based characterization of objects.

Qualifications

• Bachelor’s, Master’s Degree in Engineering/Science/Electronics/   Electrical/Mechatronics/Mechanical Engineering (Robotics Equivalent).
• Proficiency with Linux, Python/C++ and at least one of the main machine learning libraries (ie. tensorflow, keras, pytorch).
• Experience in developing object pose estimation models and applying these models to standard benchmark tasks (ie. LineMOD or YCB-Video).
• Experience in developing grasp estimation models and applying these models to standard benchmark tasks (ie. Cornell Grasp or Jacquard).
• Proficiency with ROS, especially with ROS programming in robotic manipulation.
• Good communication skills in both oral and written English.

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required. 

In accordance with Singapore's legal requirements, unvaccinated workers will not be able to work on the NUS premises with effect from 15 January 2022. As such, job applicants will need to be fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Mechanical Engineering
Employee Referral Eligible: No
Job requisition ID : 14500