223 algorithm-development-"Prof"-"Prof" positions at California Institute of Technology
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a Research Engineer to help us develop the next generation of autonomous systems and algorithms for Earth and space applications. Our group doesn't just develop new theories, but puts them to the test
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algorithms for Earth and space applications. Our group doesn't just develop new theories, but puts them to the test in the real world. From the famous walking/flying hybrid LEO, to AI/ML controls, supporting
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. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run of the LIGO Scientific Collaboration. Develop techniques and algorithms to characterize and remove
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mathematics. Develop and implement machine learning algorithms, with a focus on reinforcement learning, to solve challenging mathematical problems. Collaborate with other team members to advance the research
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computing (Rust, C, C++). Algorithm development for radio astronomy heterogeneous high-performance computing (CUDA, OpenCL) Basic Qualifications Bachelor's degree in EE or Physics. 5 years experience in
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of the LIGO Scientific Collaboration. Develop techniques and algorithms to characterize and remove other non-environmental noise sources. Study noise couplings, high-power operations, and thermal compensation
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out research on distributed acoustic sensing (DAS) data analysis and participate in continued development on the inclusion of DAS data within the network monitoring systems. We seek applicants who like
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Mathematics program. Apply machine learning and reinforcement learning techniques to solve advanced mathematical problems. Develop and implement new algorithms for mathematical reasoning. Collaborate with team
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into detector systems. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run of the LIGO Scientific Collaboration. Develop techniques and algorithms
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analyses, and data visualization. Application of latest developments and algorithms from computer vision and machine learning to spatial data analyses in geosciences. Experience working with satellite