PRAISe Lab

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Open Positions

We welcome motivated researchers interested in perception, robotics, artificial intelligence, computational imaging, and autonomous systems.

Event camera view of a quadrotor flying through foliage

Now hiring

Postdoctoral Researcher

Event and Neuromorphic Vision for High-Speed Aerial Robots

  • Boulder, CO, on-site
  • 1-year appointment, renewable subject to funding
  • Open to U.S. citizens and permanent residents only

The PRAISe Lab at the University of Colorado Boulder is hiring a postdoctoral researcher to push our research on high-speed perception with event cameras: detecting, tracking, and reacting to fast-moving objects at sub-10 ms latency on resource-constrained robots such as drones.

This is the regime where compute budgets are milliwatts, mass budgets are grams, and frame-based pipelines are too slow, too power-hungry, or blind under high dynamic range.

The role spans the full stack

  • Algorithms. Event-based detection, tracking, and optical flow, evaluated against strong frame-based and event-based baselines at matched latency and compute.
  • Embedded deployment. Event pipelines and networks on microcontroller-class NPUs, spiking and neuromorphic processors, and small SoCs, not just desktop GPUs.
  • Closed-loop flight (secondary role). Event sensors on everything from 50 g micro-quads to mid-size multirotors, flown on evasion and interception tasks in our motion-capture arena.

Looking for

  • A Ph.D. in robotics, computer science, electrical or electronic engineering, aerospace, mechanical engineering or a related field, with publications in event-based vision, high-speed motion tracking, optical flow, or real-time robot perception.
  • Strong C++ and Python, and comfort with embedded and real-time code.
  • A plus: UAV deployment experience, or work with spiking neural networks and neuromorphic hardware.

Prospective students

Thank you for your interest in the Perception, Robotics, AI and Sensing (PRAISe) Lab at the University of Colorado Boulder.

Because we receive a substantial number of inquiries, we are unable to respond individually to every email. Prospective students should submit their information through the application form.

Our research focuses on advancing robot autonomy through active and bio-inspired perception, computational imaging, artificial intelligence, and efficient sensing systems. We are particularly interested in methods that enable capable perception and navigation on resource-constrained robotic platforms.

Before applying, please review the lab's research directions to determine whether your background and interests align with our current work.