Princeton University - Princeton, NJ

posted about 2 months ago

Full-time
Princeton, NJ
Educational Services

About the position

The Robotics Automation Engineer will play a crucial role in the FlyWire Consortium, which is spearheaded by the Princeton Neuroscience Institute. This position focuses on the automation of ultrathin brain sectioning, a process that has remained largely unchanged for over five decades. The successful candidate will be involved in the design and construction of a pick-and-place robot that utilizes computer vision to automate the collection of brain slices. These slices are essential for reconstructing neuronal wiring diagrams, which are pivotal in advancing our understanding of connectomics, particularly as we aim to scale this technology from fruit flies to larger mammalian brains. The engineer will be responsible for interfacing the robot with a control system, ensuring that the pick-and-place operations are executed with precision. Collaboration with a robot vision engineer will be essential to develop the necessary algorithms and systems for effective operation. This position not only requires technical expertise in robotics and automation but also a strong understanding of the underlying biological processes involved in neuroscience research. The role is designed for individuals who are passionate about applying engineering principles to solve complex biological problems and contribute to groundbreaking research in the field of neuroscience. This full-time position is initially appointed for one year, with the possibility of renewal based on satisfactory performance. The successful candidate will have the opportunity to work in a cutting-edge research environment, contributing to significant advancements in the field of neuroscience through innovative engineering solutions.

Responsibilities

  • Design and build a pick-and-place robot for ultrathin brain sectioning.
  • Interface the robot with a control system for automation.
  • Collaborate with a robot vision engineer to develop control algorithms for pick-and-place operations.
  • Ensure precision and accuracy in the collection of brain slices.
  • Contribute to the scaling of connectomics technology from fruit flies to larger mammalian brains.

Requirements

  • Proven experience in robotics engineering and automation.
  • Strong background in control systems and robotics design.
  • Familiarity with computer vision technologies and their application in robotics.
  • Ability to work collaboratively in a multidisciplinary team environment.
  • Excellent problem-solving skills and attention to detail.

Nice-to-haves

  • Experience in neuroscience or biological engineering.
  • Familiarity with high-performance computing and artificial intelligence applications in imaging.
  • Knowledge of electron microscopy techniques.
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