Inside Higher Ed · 6 hours ago
Computational & Data Science Research Specialist 3 (6104U) - Berkeley Seismological Lab
Berkeley, CA
Full-time
Onsite
Mid, Senior Level
$102K/yr - $140K/yrThe University of California, Berkeley is a world-leading institution known for its academic and research excellence. They are seeking a Computational & Data Science Research Specialist 3 to plan, develop, and maintain high-performance computing software for geophysical data acquisition and processing, while also contributing to research proposals and collaborating with various stakeholders.
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Responsibilities
Plans, designs, integrates, develops, tests, deploys, configures, operates, maintains and documents complex High-Performance Computing (HPC) geophysical data acquisition and processing software including for the processing of seismic, geodetic, distributed acoustic sensing (DAS), and citizen science data. Applies complex programming practices, including in containerized and scalable cloud environments
Develops and maintains continuous integration and deployment (CICD) pipelines for the maintained software. This includes maintaining and updating the build environment, tests, configuration, documentation and automatic notification system of build and testing issues. This also includes the development of extensive unit, integration, functional and end-to-end tests
Benchmarks, analyzes and tests current and future geophysical software, scientific codes, algorithms, and HPC related hardware and identifies potential uses for the organization. This includes new geophysical applications for the BSL (e.g. real-time monitoring of building infrastructures, faults, offshore regions, hydrothermal basins and carbon sequestration areas), new types of geophysical data (e.g. DAS, citizen science), and modern IT infrastructure and algorithms (e.g. cloud, CICD, machine-learning components). Troubleshoots complex machine-learning algorithms used for the processing of large amount of geophysical data
Defines and documents usage modes, capabilities, characteristics and performance of the implemented real-time geophysical software. Publishes and presents results in scientific journals, conferences and workshops to expand the BSL's impact in the geophysical community and promote the latest technologies within this community
Participates and contributes to new research proposals (e.g. real-time monitoring of building infrastructures, faults, offshore regions, hydrothermal basins and carbon sequestration areas) in collaboration with other researchers and Principal Investigator PIs at the BSL
Understands and applies a) complex research and development practices (including related to ML algorithms, containerized and scalable cloud environments, GPU servers, etc.), b) geophysical standards for data and metadata and c) BSL policies and procedures relating to work assignments. Serve as technical lead for research and development projects at the BSL
Qualification
Required
Bachelor's degree in geophysics or computer science (or equivalent experience/training)
Knowledge of geophysical data processing software, including for the processing of seismic, geodetic, distributed acoustic sensing (DAS), and citizen science data
Advanced skills, and demonstrated experience associated with implementation and deployment of HPC hardware and software
Advanced knowledge of geophysical data and metadata formats, including data collected from DAS and citizen science systems
Knowledge of containerized and scalable cloud environments
Knowledge of CICD infrastructure
Demonstrated ability to regularly interface with management
Demonstrated ability to contribute research and technical content to grant proposals
Demonstrated effective communication and interpersonal skills
Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences
Proven skills and experience in independently resolving broad computing / data problems
Self-motivated and works independently and as part of a team
Able to learn effectively and meet deadlines
Proven ability to successfully work on multiple concurrent projects
Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators
Benefits
Comprehensive benefits package
Full benefits
Company
Inside Higher Ed
Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.
Founded in 2004
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2022-01-10Acquired
2006-08-31Series Unknown
Leadership Team
Stephanie Shweiki
Director, Foundation Partnerships
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