DESCRIPTION

As an Organized Research Unit of UC San Diego, the San Diego Supercomputer Center (SDSC) is considered a leader in data-intensive computing and cyberinfrastructure, providing resources, services, and expertise to the national research community, including industry and academia. Cyberinfrastructure refers to an accessible, integrated network of computer-based resources and expertise, focused on accelerating scientific inquiry and discovery. SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC launched Comet, a petascale supercomputer that joins the Center's data-intensive Gordon cluster. SDSC is a partner in XSEDE (eXtreme Science and Engineering Discovery Environment), the most advanced collection of integrated digital resources and services in the world.

The Workflows for Data Science (WorDS) Center of Excellence at SDSC offers expertise and services to support data-driven applications, data analysis projects, data scientists and software engineers in their computational practices involving process management.

The WIFIRE CI will support an integrated system for wildfire analysis, with specific regard to changing urban dynamics and climate. The system will integrate networked observations such as heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling, and data assimilation to provide a scalable method to monitor such phenomena as weather patterns that can help predict a wildfire's rate of spread.

The SDSC Data Platform project build computational practices for data science application areas. These practices may involve a blend of data management and integration techniques, data analytics methods and software libraries, use of computational workflows, cloud computing and visualization software along with administration of data systems and platforms in including Spark, STORM, and Hadoop.

POSITION OVERVIEW:

The incumbent will apply advanced computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, to perform highly complex research, technology and software development which involve in-depth evaluation of variable factors impacting large projects of broad scope and complexities, design, develop, and optimize components/tools for major HPC/data science/CI projects, resolve complex research and technology development and integration issues, and give technical presentations to associated research and technology groups and management.

The incumbent will also evaluate new hardware and software technologies for advancing complex HPC, data science, CI projects, present novel research outcomes and represents the organization at national and international meetings, conferences and committees, assist in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science, CI projects, and lead a team of research and technical staff.

In addition, the incumbent will serve as a technical lead in the research and development of multiple research projects in computational data science, enhance and develop techniques for modeling, querying and integrating scientific data including biological, social media and environmental sensor information, and work with international science collaborators to develop requirement specifications for their data science and computing tasks, and develop a research and development plan to execute the tasks. Will develop architectures for data storage, access, integration by storing the information on multiple standard DBMS platforms including Oracle, DB2, PostGres, SQL Server, MySQL etc., as well as semistructured and textual data using XML, graph