Atmospheric Data Scientist - 134800

UC San Diego is hiring an Atmospheric Data Scientist for a two-year contract position at the Center for Western Weather and Water Extremes. The role involves developing and enhancing Numerical Weather Prediction models, focusing on radar data assimilation techniques related to atmospheric rivers. Responsibilities include analyzing large datasets, collaborating with colleagues and external partners, and communicating research findings. A Bachelor's degree is required, with a Ph.D. preferred.
This is a two (2) year contract position. This appointment may be extended or converted to career status based on the needs and funding of the department.

DEPARTMENT OVERVIEW

The Center for Western Weather and Water Extremes (CW3E) is leading the development and implementation of new research and applications capabilities focused on extreme weather and climate events in the Western US. CW3E is developing and implementing weather and climate observations, numerical models and decision support tools focused on atmospheric and land-surface conditions related to extreme events such as heavy rainfall 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 development and testing, and development/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 an international leader in atmospheric river research.

POSITION DESCRIPTION

The Atmospheric Data Assimilation Scientist will contribute to the development, implementation, verification, and enhancement of Numerical Weather Prediction (NWP) models. This role focuses on advancing radar data assimilation techniques for CW3E’s in-house models and evaluating the impact of reconnaissance observations-such as dropsondes and airborne radars-on both CW3E’s models and cutting-edge community NWP systems.

Responsible for developing and refining forecast models and data assimilation schemes, with a focus on atmospheric rivers and their cascading impacts. Analyzes large datasets, including model outputs and multi-platform observations to assess forecast performance. Collaborates with CW3E colleagues and external partners on data assimilation systems, high-resolution simulations of landfalling atmospheric rivers, and extreme precipitation events in the western U.S. Communicates research findings through conference presentations, peer-reviewed manuscripts, technical reports, and other publications. Supports proposal development and project reporting while mentoring interns and early-career researchers.

QUALIFICATIONS
• Bachelor's degree in related area and / or equivalent experience / training. Ph.D. in Atmospheric Science preferred
• Experience and proficiency in implementing and developing radar data assimilation in GSI/JEDI/WRFDA/DART. Experience in setting up, running, and analyzing output from numerical weather prediction models, such as WRF, MPAS, or similar.
• Experience running numerical weather prediction models on high-performance computing (HPC) platforms.
• Thorough knowledge of research function. Ability to work with large datasets with different formats and components, including NetCDF, GRIB, HDF, and binary.
• Strong background in data assimilation, numerical modeling, and interdisciplinary collaboration to advance forecasting capabilities and improve the understanding of atmospheric river dynamics and predictability..
• Thorough skills associated with statistical analysis and systems programming. Proven expertise in programming to include shell scripting, Fortran, C/C++, Python, NCL, and Matlab, amongst other programming languages. Must be proficient in Linux environments.
• Thorough skills in analysis and consultation. Strong time management skills. Ability to prioritize tasks appropriately and meet deadlines.
• Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skills in scientific visualization, scientific writing, and experience presenting at scientific conferences (poster and oral presentations).
• Excellent interpersonal skills, including thoughtfulness, diplomacy, and flexibility, with a strong emphasis on teamwork and recognizing the contributions of colleagues in a professional and supportive manner. Demonstrated ability to collaborate effectively with staff, faculty, researchers, and students while also working independently as needed.
• Proven ability to work effectively under pressure and to re-direct efforts to meet operational needs, requiring frequentlychanging and balancing competing priorities; must be able to function at a high level in a team environment.
• Proven ability to multitask and work independently while effectively organizing and prioritizing a high volume of responsibilities to meet deadlines. Skilled at quickly adapting to changing priorities while exercising sound judgment and taking initiative.

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

Pay Transparency Act

Annual Full Pay Range: $85,400 - $156,800 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $40.90 - $75.10

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.

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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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Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.

a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: