This is a 100% five (5) month Contract position. This appointment may be extended or converted to career status based on the needs and funding of the department.

CASPO is comprised of three diverse research units, AS (Atmospheric Science), PO (Physical Oceanography) and CR (Climate Research). Each unit was its own independent division until the three were combined into CASPO in 2007. The CASPO Business Office is the support hub of the research efforts of 55 academics in various titles (Professor, Research Scientist, Project Scientist and Specialist), several Research Associates/Visiting Scholars, 40 postdoctoral scholars, 44 graduate students and 130 staff. CASPO manages approximately $50 million in federal, state and private funds annually and manages an additional $2.8 million in discretionary funds. It occupies 51,000 square feet of space, including instructional and research support space, administrative offices and research labs. CASPO is home to the Instrumental Development Group (IDG), a recharge facility that builds and deploys a third of the world's data collecting sounding observers (SOLOs) and 7 to 10 ocean-going gliders, annually. In addition, CASPO manages the newly formed Center for Western Weather and Water Extremes (CW3E). The CASPO Business Office is responsible for managing OA Section funds and activities, including budgeting and expenses related to new Researcher startup funding, bridge funding, seminars, student recruitment and meetings, building maintenance for Nierenberg Hall, OAR/Keck, and O&A space in MESOM, DeepSea Drilling and Seaweed Canyon. The majority of SIO's NOAA Cooperative Institute (CIMEAS) funding runs through CASPO and requires additional coordination with program staff. The Oceans and Atmosphere (OA) section is the largest of SIO's three sections comprising the CASPO and MPL Divisions.

Having wide-ranging, extensive experience with computational, computer science, data science, and Continuous Integration (CI) software research and development principles, with relevant domain science knowledge including Empirical Dynamic Modeling where applicable, performs up to and including the most complex research, technology and software development projects with sitewide, institution-wide and / or multi-institutional scope. Represents organization at national and international meetings, conferences and committees such as the American Geophysical Union annual meeting, and, at the Greater Everglades Ecosystem Restoration conference. Considered research and technology expert in multiple aspects of High Performance Computing (HPC), data science, and CI. Advises on and resolves highly complex research and technology projects / issues. Directs the design, implementation and selection of new hardware and software technologies for advancing complex HPC, data science, and CI projects. Presents research and technical briefings to senior management, institution-wide, national and international audiences. Contributes to the research and technical direction in one or more technical specialties. Performs advanced research and technology development to contribute to design of future HPC, data science, and CI hardware and software systems. Engages in multi-institutional and multi-disciplinary research through the U.S. Cooperative Ecosystem Research Units (CESU) Network. For example, research with the U.S. Department of the Interior / National Park Service to assess resource management and hydrological impacts on Everglades Restoration projects. Engages in multi-institutional and multi-disciplinary research with the Salk Institute, and the Okinawa Institute of Science and Technology applying EDM methods to neuroscience.

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

• Expert knowledge of HPC / data science / CI.

• Expert knowledge of OS: Linux, Windows, OSX. Languages: C++, Python, R, html, markdown

• Expert 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 diverse and complex HPC or data science or CI applications and tools of campuswide / multi-institutional scope.

• Demonstrated ability to effectively communicate with executive-level management on a regular basis as well as funding agency program managers / directors.

• Demonstrated ability to develop and lead one or multi-institutional national scale proposals and acquire funding.

• 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 as well as senior research, academic and government officials.

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

• Self-motivated and works independently and as part of a team.

• Expert experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.

• Expert ability to successfully lead and manage multiple concurrent projects. Excellent research and technology project leadership and management skills.

• Expert ability to independently plan, guide and execute innovative scientific research programs and development projects to completion by selecting approaches, and interpreting and evaluating results with researchers, staff and colleagues and supervisors.

• Demonstrated expert experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.

• Proven ability to establish realistic research priorities and lead, motivate and guide colleagues and staff for a sustained effort.

• Expert knowledge of Empirical Dynamic Modeling (EDM)

• Expert skills and experience in the suite of empirical dynamic modeling applications (cppEDM,pyEDM, rEDM).

• Demonstrated expert experience in design, deploy and operate cross-platform HPCapplications with focus on empirical dynamic modeling (EDM) tools, applications, and extensions such as kokkos EDM (kedm).

• Demonstrated expert experience in providing best practices to development, testing, promulgation and application of EDM tools.

• Demonstrated advanced statistical knowledge for application development and operationalization.

• Demonstrated advance knowledge of information theory, time series analysis and control theory are required to design, implement, and validate the applications

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

Pay Transparency Act

Annual Full Pay Range: $92,603 - $232,207 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $44.35 - $111.21

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.

To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community .

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html

UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.