[robotics-worldwide] [jobs] Post-doc and research engineer positions at Keppel-NUS Corporate Laboratory
Chew Chee Meng
chewcm at nus.edu.sg
Wed Mar 1 00:23:31 PST 2017
The Yard Productivity Enhancement Project of Keppel-NUS Corporate Laboratory based at the National University of Singapore, Faculty of Engineering, invites applications for postdoctoral fellow and research engineer positions in the areas of robotics, automation, control, instrumentation and welding processes. The research team will focus on the development of novel productivity improvement solutions for shipyard. For example, sensor fusion and path planning for robot-based welding system for complex joints, automated grit-blasting system for ship hull paint removal, development of novel welding system carriage for confined space welding, etc.
Relevant experiences or skills in one or more of the following areas will be a plus:
1. Path planning and obstacle avoidance for industrial robots
2. Teaching methods for industrial robots
3. Mechatronics system integration
4. Real-time sensor-based weld seam tracking
5. Computer language programming and GUI creation
6. Welding automation/Welding processes
7. General mechanical design/Fixtures design
We offer competitive remuneration package which commensurate with the experience of each applicant. PhD degree will be required for the postdoctoral fellow positions whereas Bachelor or Master degree in relevant disciplines will be required for the research engineer positions. All positions are for a period of 1 year with possible extension (depends on the project's final deadline).
The application materials consisting of: a cover letter, resume, research statement, list of publications (if any), names and contact information of three referees, should be compiled as a single PDF file and sent to the email address: chewcm at nus.edu.sg. Shortlisted candidates will be notified through email for interview. Please get ready at least two referee letters for the application.
Chee-Meng Chew, PhD
Yard Productivity Enhancement Project
Keppel-NUS Corporate Laboratory
Faculty of Engineering
National University of Singapore
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