182 postdoc-parallel-computing uni jobs at California Institute of Technology in United States
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via computer interface, and in conjunction with the Utility Plant Operator (UPO), operate natural gas combustion and steam turbine generators, 300 psi steam boilers, chillers, cooling towers, and other
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; maintain good communication of pending issues with faculty, postdocs, students, and staff. Other duties as assigned. Basic Qualifications Bachelor's degree and at least 3 years of equivalent administrative
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of extension through December 2026. As a Pipeline Operator, you will be part of the Science Data System team for the Zwicky Transient Facility (ZTF). We operate a computing cluster and real-time automated
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dining halls, serving our entire campus community of undergraduate, graduate, postdoc, faculty, staff, and visitors. We serve over 900 undergraduate students, 7 days a week, on our Meal Plan Program and
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systems and components including: vacuum components, fittings, and pumps; electronic and computer systems; optical components and assemblies; precision mechanical components and assemblies. Basic
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, or organize computer hardware and peripherals with guidance. Perform routine hardware checks (e.g., cable connections, power issues). Help with inventory tracking, labeling, and device verification tasks
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optoelectronic bring-up. Ability to program for data analysis/signal processing (e.g., Python or MATLAB). Preferred Qualifications Hardware–software integration and embedded control. Field deployment experience in
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of the Science Data System team for the Zwicky Transient Facility (ZTF). We operate a computing cluster and real-time automated pipelines that process images of the night sky taken with a 640-megapixel
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other colleagues, maintain an active presence throughout the complex. Communicate APER policies and procedures to all participants and guests, as needed. Assist in managing recreation membership program
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administration and systems administration support for all IPAC projects as well as the organization at large. We manage tens of petabytes of data, high speed networks, compute clusters and the data centers