Job Description

Payroll Title:
RSCH DATA ANL 3
Department:
CLIMATE/ATMOS SCI/PHY OCEANOG
Hiring Salary Range
$63,400.00 - $103,100.00 / Year
Worksite:
SIO
Appointment Type:
Career
Appointment Percent:
100%
Union:
Uncovered
Total Openings:
1
Work Schedule:
Days, 8 hrs/day, Mon-Fri

#118823 Machine Learning Scientist

Filing Deadline: Tue 9/27/2022

For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy

UCSD Layoff from Career Appointment: Apply by 09/16/2022 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants: Apply by 09/27/2022. Eligible Special Selection clients should contact their Disability Counselor for assistance.

DESCRIPTION

The scientist will apply their background and expertise in machine learning or computational science to develop, support, and execute projects of broad scope and complexity that addresses CW3E's objectives. A particular emphasis will be on the application of machine learning (ML) and artificial intelligence methods to weather, subseasonal-to-seasonal (S2S) scale research, and model interpretability. The successful candidate will develop novel methods for precipitation estimation and prediction (as well as other relevant variables, e.g., integrated water vapor transport) for the benefit of water management. The position will lead and contribute reports and peer-reviewed publications as needed, including analyses, diagnostics, figures, and text.

In addition, the position will contribute to ongoing efforts on the strategic growth of computing platforms and resources, improvement of data management procedures, and development of decision support tools.

QUALIFICATIONS

  • Thorough knowledge of research function. In-depth experience as an independent researcher.

  • Thorough skills associated with statistical analysis and systems programming. Strong experience in scientific programming, working in a Unix environment, and with scripting languages such as Python, R, or Matlab is highly desirable. Experience using common machine learning software (Tensorflow, Keras, PyTorch, Scikit-Learn, etc.) on cloud computing environments (AWS, Azure, etc.).

  • Thorough skills in analysis and consultation. Knowledge on how to evaluate numerical weather prediction model performance for both deterministic and probabilistic predictions.

  • Skills to communicate complex information clearly and concisely, verbally and in writing. Skills in scientific graphical representation, scientific writing, and experience presenting at scientific conferences (poster and oral presentations).

  • Skills in project management. Strong time management skills. Demonstrated ability to prioritize tasks and meet 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.

  • Experience in implementing ML methods in weather/climate research, analysis of dynamical model (e.g., WRF) outputs, and publishing research results.

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

  • Knowledge of operational forecasting models and products. Knowledge of observational and reanalysis data sets as applied to US West coast meteorology and climate.

SPECIAL CONDITIONS

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


Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral).

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.

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!

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