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Job Description

This position involves working on a project related to the planning and control for autonomous surface vehicles, for collaborative manipulation tasks. The objective of this position includes contributing to model development, solution, and implementation of such collaborative controllers on actual platforms, first in simulation and then on hardware. The role involves the opportunity to work with the PI's team within the National University of Singapore, as well as a large industrial partner. The successful candidate will be self-motivated with an outstanding track record in robotics, control, computer science, or related disciplines, with a special focus for the aquatic domain.

Qualifications

The main research tasks for the project include but will not be limited to:

• Developing robust conventional and learning-based controllers for collaborative manipulation by a team of autonomous surface vehicles.

• Designing and implementing controllers in simulation and then on hardware with our partner.

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)
• Literature review/summarizing skills
• Simulations abilities (especially aquatic/maritime simulators)
• Experience with implementation of deep learning model on hardware (in particular, autonomous surface vehicles)
• Experience publishing papers, and supervising undergraduate/master's students
• Good writing/spoken communication skills