Geographic Info Sys Programmer 2
The University of California, San Diego
About this position
Position Description
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. The WIFIRE Lab develops integrated systems for natural hazards monitoring, simulation, and response. The Lab’s mission is to conduct research and development towards infrastructure, services and tools for artificial intelligence integrated fire science. It is a consortium of UC San Diego organizations and a number of partnerships including the university collaborators, industry partners, fire departments, utilities, State’s CalOES and CPUC. Although the WIFIRE Cyberinfrastructure is built with a primary goal of enhancing fire science, it has developed an operational branch to deploy WIFIRE research to emergency response and public situational awareness settings. To meet growing needs in hazards monitoring and response, the WIFIRE Lab aims to be an all hazards knowledge cyberinfrastructure, becoming a management layer from the data collection to modeling efforts. The Lab adds value to the raw data and prepare the best data in real-time for any monitoring and modeling effort (along with our own dynamic data-driven models) for research and operational use. 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 incumbent will use professional GIS concepts and applications to resolve a variety of analysis and research issues, work on assignments of moderate scope where analysis of data requires a review of a variety of factors and assist in additional analyses as needed to achieve research objectives. Additionally, the incumbent will use GIS software (e.g. ESRI and QGIS) to analyze and display fire-related data sets as well as the Firemap web-based software for product output. They will also use open source GIS tools to monitor for emerging fires, triangulates their location, and creates geospatial simulations on their fire spread. The incumbent will participate in data collection, curation, spatial analysis, and preparing summary reports as well as convert data received from aircraft to ingest to GIS tools. Also, the incumbent will write and test computer programs to process data from atmospheric, vegetation, and fire related datasets (e.g mesowest, NWS forecast, fuel moisture data) in various ways, including determining source data (input), processing requirements (output), and output formats. For more information, please visit: https://www.sdsc.edu/
Qualifications
Bachelor's degree in related area and / or equivalent experience / training. Working knowledge of GIS software, applications programming, database and table structure and design, user interface and experience design and web application development. Working knowledge of ArcGIS, QGIS, and/or some spatial data science experience. Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. Ability to communicate with data scientists and fire fighters on emerging incident activities and data analysis. Ability to communicate technical information in a clear and concise manner. Ability to communicate to both scientists and the emergency response community. Demonstrated attention to detail while being able to work quickly. Ability to react and communicate rapidly and efficiently. Ability work remotely and stay in communication with the rest of the team using collaborative applications for communication such as WhatsApp, Skype or Slack. Demonstrated ability to think about environmental problems both spatially and temporally. Working knowledge in writing and testing computer programs to process data and related datasets (e.g mesowest, NWS forecast, fuel moisture data) in various ways.