Cmptl and Data Sci Rsch Spec 4 - 142124

DEPARTMENT OVERVIEW:

The Mission of the San Diego Supercomputer Center is to translate innovation into practice. SDSC adopts and partners on innovations in industry and academia in the areas of software, hardware, computational and data sciences, and related areas, and translates them into cyberinfrastructure that solves practical problems across any and all scientific domains and societal endeavors. Cyberinfrastructure refers to an accessible, integrated network of high-performance computing, data, and networking resources and expertise, focused on accelerating scientific inquiry and discovery. With more than 250 employees and $30-50M of revenue a year, SDSC is a global leader in the design, development, and operations of cyberinfrastructure.

SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally distributed system open for all of academia to integrate with. SDSC offers research data services across the entire vertical stack from universally scalable storage to consulting services on FAIR, Big Data, and AI. SDSC offers a rich set of cloud services both on-premise, in the commercial cloud, and as hybrid services across both.

SDSC has three geographic scopes, a national scope supporting cyberinfrastructure for the entire US research and education community, a California scope with a special focus on convergence research that addresses the three dominant threats to CA: Drought, Fire, Earthquakes, and a campus scope focusing on advancing the global impact of SDSC by advancing the research objectives of the UC San Diego faculty, researchers, and students. SDSC impacts researchers at scales from 1,000's to Millions. SDSC annually trains thousands of researchers in cyberinfrastructure tools and software, and supports thousands of individual researchers via Unix accounts on its large HPC systems. SDSC was a leader developing the Science Gateway concept, and continues to be a global leader in its evolution. SDSC operates multiple major such gateways with user communities ranging from the tens of thousands to the millions. SDSC's educational programs includes online courses that have been attended by more than a million students.

SDSC is committed to democratizing access to cyberinfrastructure across all of its geographic scopes. SDSC strives towards a culture that supports our employees to be their best, achieve their goals, and enjoy their lives, both professionally and personally.

At SDSC, the Cyberinfrastructure and Convergence Research and Education (CI-CORE) Division combines broad expertise in cyberinfrastructure with deep, domain specific expertise in AI-enabled science to build use-inspired solutions to grand societal challenges at scale with partners in research communities, practical communities, and industry. The Division is committed to providing online, post-doctoral, and experiential education opportunities with a focus on broadening participation for underrepresented groups.

This is a part-time 50% Career position.

The CDSR 4 is an experienced computational science researcher applying advanced computational, computer science, data science, and CI software research and development principles to research related to wildfire risk assessment and mitigation using GIS data formats and tools to perform highly complex research, technology and software development impacting medium to large projects of broad scope and complexities.

The incumbent will devise new scientific workflows as usable tools for specific practitioner communities that meets unique science to practice challenges. Implements processes for analyzing and processing science to practice workflows using cutting-edge technologies and best practices focusing on packaging novel scientific workflows into tools usable by a range of practitioners; develop and implement tools using advanced techniques for planning and carrying out prescribed burns and medium-range land management to support an increase in wildfire mitigation; and apply best practices to design, develop and deploy novel 3D scientific datasets using various libraries and frameworks.

The CDSR 4 will also collaborate with back-end developers, data scientists, and domain experts and communicates effectively with different stakeholders to ensure the quality and usability of products, resolve complex research and technology development and integration issues as well as give technical presentations to associated research and technology groups and management. The incumbent may represent the organization as part of a team at national and international meetings, conferences and committees and may lead a team of research and technical staff.

For more information, please visit: https://www.sdsc.edu/

• Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience. Master's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred.

• Advanced knowledge of HPC / data science / CI. Knowledge of advanced principles in Machine Learning and Deep Learning.

• Demonstrated ability to regularly, effectively communicate with unit-level management.

• In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles.

• Analysis, design, development, test, troubleshooting, and documentation of complex data systems that may involve one or more of the following: predictive score models, feature extraction, data-driven analysis, machine learning, decision making, and related utilities.

• Working knowledge of GIS data formats and tools. Experience with open-source GIS tools such as Leaflet, GeoServer, and GDAL is a plus. Experience in data modeling.

• Job offer is contingent upon satisfactory clearance based on Background Check results.

• Must be willing and able to travel.