SRI’s Information & Computing Sciences Division is taking on some of the world’s most important challenges, creating leading-edge technology solutions that have revolutionary impact. Our researchers are redefining the way human beings interact with machines and with one another through machines, as we define what’s next in artificial intelligence, machine learning, and computing for the real world.
The Center for Vision Technologies (CVT) develops and applies its algorithms and hardware to be able to see better with computational sensing, understand the scene using 2D/3D reasoning, understand and interact with humans using interactive intelligent systems, support teamwork through collaborative autonomy, mine big data with multi-modal data analytics and continuously learn through machine learning.
CVT's Vision Systems Lab is seeking an Intern with experience in optical sensing, signal/image processing, and machine learning, particularly in developing algorithms to enhance signal-to-noise ratios and identify the chemical classes based on Fourier Transform Infrared Spectroscopy (FTIR) analysis. The role involves advancing current approaches and improving the detection accuracy in a fast-paced environment. The ideal candidate should be capable of working independently and be effective in a small team or individual tasks.
The Intern will need to be local to the Princeton office and will work a hybrid schedule. We anticipation the intern working during the fall semester.