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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
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prediction tasks. Knowledge of a wide range of statistical tools and clustering / prediction algorithms is required. Experience of using foundation models and generative AI would be an advantage. Specific
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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. Successful candidates will hold a joint appointment with IDRIS (The Institute for Data, Research, and Innovation Science). Review of applications will begin November 1, 2025 and will continue until
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for better performance. Collaborate with website team members and SEO partners. Monitor and report overall performance using SEO/web management tools. Stay informed about industry trends, algorithm updates
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at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data, stochastic optimization
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learning algorithms for the design of nanophotonic structures, Contribute to publishing results in scientific journals and national and international conferences, Working alongside principal investigator
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of mathematical algorithms and do practical machine learning and data analysis. Our staff is enthusiastic about collaboration, multidisciplinary teams, and combining theory and practice. We are located in San Diego
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massive substrate profile datasets in high throughput; application of in-house machine learning algorithms to identify optimal linker activity and selectivity; synthesis and characterisation of linker
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to programming, data structures, algorithms, networking, database, and cybersecurity. - Utilize inclusive pedagogies and course design to effectively promote student learning. - Engage in curriculum development