Filing Deadline: Mon 3/24/2025
UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply.UCSD Layoff from Career Appointment: Apply by 03/13/2025 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 03/24/2025. Eligible Special Selection clients should contact their Disability Counselor for assistance.
The Center for Western Weather and Water Extremes (CW3E) is leading the development and implementation of new research and application capabilities focused on extreme weather and climate events in the Western US. CW3E is developing and implementing weather and climate observations, numerical models, data assimilation techniques, machine learning, and decision support tools focused on atmospheric and land-surface conditions related to extreme events and their impacts. CW3E is an interface between UCSD departments, other universities around the country and local, state, and federal agencies, in the operation, utilization and expansion of a new state-of-the-art weather observing network recently deployed in California. Efforts to be undertaken by the CW3E Center include scientific research, technology development, numerical model and data assimilation development and testing, and development and deployment of smart tools that aid decision-makers affected by extreme weather, water, and climate events. A key activity of the CW3E Center is the development of methods and systems to aid future reservoir operations for flood control, water supply, and ecosystems. CW3E is a focus of international research on atmospheric rivers.
The position will apply extensive knowledge as a research professional and expertise in computational science to develop, support, and execute research projects of broad scope and complexity, with a focus on modeling and analyzing extreme weather and water events in the Western US. Special emphasis will be placed on the applications of numerical weather prediction models and advanced data assimilation techniques/optimization algorithms for high-impact weather and water events, observational impact evaluation, and understanding the sources of predictability associated with initial conditions and model physics. The position will require extensive experience with weather forecasts, reconnaissance observations, satellite and radar data, atmospheric dynamics, data handling and preprocessing, as well as computational and statistical analysis techniques to support CW3E's research and operation initiatives.
The position may also lead the CW3E data assimilation research, develop, implement, and maintain cutting-edge numerical models with advanced data assimilation approaches for forecasts at short- to medium-range scales, and develop innovative tools to support atmospheric river reconnaissance operations. The successful candidate will also lead grant writing and closely collaborate with operational modeling centers. Additionally, the successful candidate will provide input to the CW3E Management on operational pipeline/workflow implementation and best practices, strategic growth of computing resources, and support ongoing efforts to improve data management procedures.
The Computational and Data Science Research Specialist 4 will further UCSD educational goals by mentoring next-generation postdoctoral, early-career researchers, and intern students on novel techniques developed within CW3E for research and applications focused on extreme weather and water events in the Western US. The position will lead and contribute to scientific journal publications, give technical presentations to associated research and technology groups and management, and represent the data assimilation team at national and international meetings, conferences, workshops, and committees.
Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience. Masters degree preferred.
Advanced knowledge of atmospheric dynamics, predictability, and numerical modeling.
In-depth experience in implementing/developing numerical weather prediction and data assimilation frameworks. Experience in one or more regional or global numerical weather models such as MPAS, WRF, GFS, IFS, or CESM. Experience in one or more data assimilation systems such as JEDI, WRFDA, GSI, or DART.
Experience with handling, analyzing, and processing large meteorological datasets from conventional and satellite observations and operational weather and climate models for deterministic and probabilistic predictions.
In-depth experience working in Linux environment, and expertise in one or more scientific programming languages (e.g., C/C++, Fortran90, Python, MATLAB).
Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.
Advanced knowledge of HPC / data science / CI. Demonstrated experience with running andimplementing HPC domain specific scientific software and related packages in weather/climateresearch
Demonstrated ability to initiate research proposals and acquire funding.
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 knowledge of design, deploying, and maintaining domain science pipelines / workflows in an HPC environment.
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.
Self-motivated and works independently and as part of a team. Demonstrates problem-solving skills. Able to learn effectively and meet deadlines. Seeks out solutions to problems independently.
In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles.
Demonstrated ability to coordinate and advise personnel at Scripps and collaborating agencies and institutions as it relates to the deployment of domain science workflows. Ability to coordinate internal and external partners to ensure progress toward goals.
Advanced 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.
In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills.
In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs.
Job offer is contingent upon satisfactory clearance based on Background Check results.
Occasional evenings and weekends may be required.
Pay Transparency Act
Annual Full Pay Range: $116,000 - $224,200 (will be prorated if the appointment percentage is less than 100%)
Hourly Equivalent: $55.56 - $107.38
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.
UC San Diego is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.
For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20
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