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-of-the-art algorithms for detecting and classifying safe landing zones using computer vision techniques in order to design and develop custom models for detecting landing zones in real-time based on drone
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part of the diverse Caltech community. Job Summary This position involves research and evaluation of state-of-the-art algorithms for detecting and classifying safe landing zones using computer vision
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, to mathematical problem solving. The role emphasizes hands-on experimentation, algorithmic exploration, and collaborative research, rather than independent program leadership. This position is well-suited
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advanced tomography algorithms. Bring excellent written and verbal communications and teaming skills to an interdisciplinary, inter-institutional collaborative setting. Perform instrument engineering at a
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learning (RL), to tackle complex research-level mathematical problems and to innovate new algorithms for mathematical reasoning. Essential Job Duties Lead and manage research projects within the AI and
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(SSC) at IPAC is a part of the Roman Ground Data System, providing algorithm and software development for spectroscopic and Galactic Bulge Time Domain Survey data processing. In addition, the SSC will