Princeton University - Princeton, NJ

posted about 2 months ago

Full-time - Entry Level
Princeton, NJ
Educational Services

About the position

The FlyWire Consortium, led by the Princeton Neuroscience Institute, has made significant strides in neuroscience by releasing the first neuronal wiring diagram of an adult brain. This groundbreaking achievement was made possible through the processing of electron microscopic brain images, which allowed for the reconstruction of tens of millions of synapses connecting 100,000 neurons. As neuroscience transitions into the connectomic era, the need for advanced imaging techniques has become paramount. The current method of collecting ultrathin brain slices has remained largely unchanged for over 50 years, relying on manual processes that are not only time-consuming but also limit the scalability of connectomics research. To address this challenge, we are assembling an engineering team dedicated to modernizing the collection of ultrathin brain slices using a pick-and-place robot that is guided by computer vision. The primary objective of this role is to design and build a robotic manipulator capable of picking up slices that are floating on water and placing them onto substrates that are suitable for electron microscopic imaging. This technological innovation is essential for scaling up connectomics research from fruit flies to larger mammalian brains, which are more similar to human brains. We are seeking a robotics engineer who will be responsible for the design and construction of the robot, interfacing it with a control system, and collaborating closely with a robot vision engineer to ensure precise control of the pick-and-place operations.

Responsibilities

  • Build a robotic manipulator with sub-millimeter accuracy.
  • Design a real-time closed-loop control system for the manipulator.
  • Collaborate with robot vision engineer to control pick-and-place operations.

Requirements

  • PhD degree in Mechanical Engineering, Electrical Engineering, or closely related field.
  • Proficiency in mechanical design, CAD software, computer interfacing, and electronics.
  • Knowledgeable in robot kinematics, inverse kinematics, dynamics and control system.
  • Demonstrated ability to troubleshoot mechanical and electronic systems.
  • Strong problem-solving skills with a keen eye for technical details.
  • Excellent collaboration and communication skills.

Nice-to-haves

  • Experience with micromanipulators.
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