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. 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 and Text data management platforms. 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 and Text data management platforms. The incumbent will also further UCSD's educational goal of becoming a worldwide leader in educational innovation, by designing and developing online training programs and hands on material on complex data science and computing topics, to accelerate wide spread use of Computer Science tools and infrastructure in diverse fields. S/he will use data mining and graph analytics methods and software libraries, computational workflows, cloud computing middleware and visualization software as well as administer data systems and platforms in including Spark, STORM, and Hadoop on an application basis. Additionally, the incumbent will interact with end-users, to assess the data science and computational capabilities of users; collaborate with scientific research faculty to develop both new research and novel data science applications that are maximally useful for the science research community; collaborate with other local and national and international online science data resources to optimize for interoperability with these sites; and interact with other Computer Science researchers in the field to incorporate or extend their research tools for our applications. For more information, please visit www.sdsc.edu. QUALIFICATIONS Bachelor's Degree in Computer/Computational/Data Science, or Domain Sciences with computer computational/data specialization or equivalent experience. Master's Degree preferred. Highly advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, implementation and deployment of HPC or data science or CI applications and tools of large-scale scope. Demonstrated experience with designing and developing online training programs and hands on material on complex data science and computing topics. Advanced knowledge of HPC/data science/CI. Knowledge of advanced principles in Machine Learning and Deep Learning. Demonstrated experience with the Big Data ecosystem, including HDFS, Hive, HBase, Accumulo, or Spark. Experience with general purpose object–oriented programming, including Java, Python, Scala, or JavaScript and ability to build working prototype solutions. SPECIAL CONDITIONS Job offer is contingent upon satisfactory clearance based on background check results. Must be willing and able to travel.
