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ST0215: Internship - Single-Photon Lidar Algorithms
The Computational Sensing Team at MERL is seeking an intern to work on estimation algorithms for single-photon lidar. The ideal candidate would be a PhD student with a strong background in statistical modeling, estimation theory, computational imaging, and/or inverse problems. The intern will collaborate with MERL researchers to design new lidar reconstruction algorithms, conduct simulations, and prepare results for publication. A detailed knowledge of single-photon detection, lidar, and Poisson processes is preferred. Hands-on optics experience may be beneficial but is not required. Strong programming skills in Python or MATLAB are essential. The duration is anticipated to be 3 months with a flexible start date.
The pay range for this internship position will be 6-8K per month.
- Research Areas: Computational Sensing, Computer Vision, Signal Processing, Optimization, Electronic and Photonic Devices
- Host: Joshua Rapp
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