Event-based sensing (EBS) is an imaging paradigm in which pixels asynchronously report when intensity changes occur in their respective IFOVs. These sensors have a high temporal resolution and low SWaP-C, making them of interest for space-based surveillance systems. The tradeoff, however, is, that each pixel’s report only tells whether the intensity increased or decreased; no radiometric intensity information is included. For this reason, traditional image processing approaches often fail on EBS data, making EBS algorithm design an active research area. We are therefore seeking a postdoctoral researcher to develop methods for object detection, velocity segmentation, or target tracking in EBS measurements of highly cluttered scenes. Strong applications will demonstrate a background in signal processing, time series analysis, compressive sensing, or machine learning. No previous background in EBS is required.

Event-based sensing for space situational awareness

G Cohen, S Afshar, B Morreale, T Bessell, A Wabnitz… - The Journal of the Astronautical Sciences, 2019

key words

Event Based Sensing; Neuromorphic Vision; Neuromorphic Engineering; Compressive Sensing; Computational Imaging; Algorithms; Optics; Remote Sensing;

Citizenship:  Open to U.S. citizens

Level:  Open to Postdoctoral and Senior applicants

Additional Benefits

Relocation

Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.

Health insurance

A group health insurance program is available to awardees and their qualifying dependents in the United States.