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Numerical Weather Prediction Scientist - 132543

UC San Diego
United States, California, Oakland
1111 Franklin Street (Show on map)
Dec 18, 2024
Numerical Weather Prediction Scientist - 132543
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Job Description
Extended Deadline: Tue 1/7/2025
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.

Job posting will remain open until position is filled.

This is a one (1) year 100% contract position. This appointment may be extended or converted to career status based on the needs of the department.

DESCRIPTION

The Numerical Weather Prediction Scientist is responsible for supporting the computational workflows and timely completion of near-real time operational mesoscale weather prediction models. Processes large data sets including model input and output files, handles model pre-processing and post-processing, and the production of decision support tools in workflow software. Calculates model verification statistics to assess the prediction skill of the CW3E weather forecast system. Contributes to a variety of modeling projects, including CW3E near-real time forecasting system, high-resolution reanalysis, dynamical ensembles, high-resolution simulations of landfalling atmospheric rivers, and sensitivity studies involving model physics and dynamics.

Supports the analysis and dissemination of experimental results via conference presentations, manuscripts, technical reports, and other publications. Contributes to and leads research assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.

CW3E aspires to promote the principles of equity, diversity, and inclusion in every aspect of our work. The Center understands the intrinsic value of a diverse workforce and continually seeks to expand the representation of people from diverse backgrounds and identities in geosciences. CW3E aims to foster an environment where all of our members feel valued, supported, and included. The Center strives to partner with and include the perspectives of historically underrepresented communities in our research, education, and outreach. More information can be found on our dedicated EDI website at https://cw3e.ucsd.edu/edi/.

QUALIFICATIONS
  • Bachelor's degree in Atmospheric Science or related fields. Masters degree or Ph.D. in Atmospheric Science or related fields is preferred.

  • Thorough knowledge of research function. Ability to work with large datasets with different formats and components, including NetCDF, GRIB, and binary.

  • Thorough skills associated with statistical analysis and systems programming. Proven expertise in programming to include Python, Fortran, Perl, NCL, and shell scripting, amongst other programming languages. Must be proficient in Linux environments on HPC systems.

  • Experience and proficiency in independently 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.

  • Experience with workflow management systems for numerical weather prediction and associated computing tasks.

  • 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).

  • Skills in project management. Strong time management skills. Can prioritize tasks. Meets deadlines.

  • Research skills at a level to evaluate alternate solutions and develop recommendations. This includes proposing new analyses, new conceptual ideas, or new workflow recommendations.

  • Excellent interpersonal skills including thoughtfulness, diplomacy and flexibility with the ability to work independently or within a team framework in conjunction with principles of community with staff, faculty, researchers, and students.

  • Ability to independently configure and run operational numerical weather prediction models for operational or retrospective research applications.

SPECIAL CONDITIONS
  • Must pass a background check. Desired that the candidate can pass a National Agency Check with Inquiries (NACI)

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.

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
For the University of California's Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination

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

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:

  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • Abusive Conduct in the Workplace
Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

Apply Online
Payroll Title:
RSCH DATA ANL 3
Department:
CLIMATE/ATMOS SCI/PHY OCEANOG
Hiring Pay Scale
$85,400 - $98,000 / Year
Worksite:
Hybrid
Appointment Type:
Contract
Appointment Percent:
100%
Union:
Uncovered
Total Openings:
1
Work Schedule:
8 hrs/day
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Posted: 12/18/2024

Job Reference #: 132543

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