Job Description Summary:
The incumbent will work with teams of scientists and engineers in the Hydrometeorology Applications Program (HAP) of the NSF NCAR Research Applications Laboratory to conduct science and help lead research projects related to weather modification, as well as applied to cloud microphysics, aerosol-cloud interactions, and hydrologic applications. They will provide leadership and coordination for cloud-seeding field programs and program development for the weather modification research group.
Research Responsibilities:
- Develop and maintain technical expertise in areas of cloud physics and apply this expertise to model and code development related to cloud seeding models.
- Analyze observational and model results.
- Lead project teams, write proposals, and communicate scientific results in both oral and written forms by presenting papers at national and international scientific meetings and by publishing papers in scientific journals.
Position Details:
Visa Sponsored Job: No
Relocation Assistance Eligible: No
Job Location: Boulder, Colorado
Position Type & Term: Full time, Term - 6 months or more (Fixed Term)
Compensation Range: Salary Range $109,097 - $136,370
*Final salary and rates are based on education, experience, and skills relevant to the role.*
Application Deadline: October 16, 2024
Required Application Materials:
Resume
Questionnaire: Please reply to the questions as they will be part of the scored application:
How have you developed knowledge of cloud seeding principles, research, evaluation methods, numerical modeling, and/or operational programs?
Please describe a numerical model simulation that you've run, including the region of focus, the model used, and research question(s) you addressed. If this work resulted in a publication, please include the citation.
Please describe your leadership style and provide an example from a past role that illustrates these qualities in action.
Background Checks: Conducted for candidates selected for hire.
What You Will Do:
Here is a brief summary of what one would expect to be generally responsible for in this role:
- Work with scientists and engineers in a leadership role to produce high-quality and high-impact research, including:
- Conducting high-quality basic and applied research related to cloud microphysics, weather modification, aerosol-cloud interactions, and hydrologic applications.
- Creating and executing experimental designs for cloud-seeding field programs and coordinating field program participants from multiple organizations.
- Working with sponsors to define project goals, milestones, and deliverables.
- Preparing scientific research, presenting results, and writing project reports as required by projects.
Who We'd Love To Join Our Team:
Education & Experience REQUIRED:
- Ph.D. in atmospheric science, meteorology, or a closely related field AND at least 3 years of experience in numerical weather prediction, cloud seeding and/or cloud-aerosol interactions, observational and model data analysis.
Knowledge, Skills, and Abilities REQUIRED:
- Advanced knowledge of cloud microphysics, aerosol-cloud interactions, and dynamics.
- Advanced knowledge of cloud seeding principles and research, evaluation methods, numerical modeling, and/or operational programs.
- Demonstrated programming skills in data analysis software packages (e.g., Python, NCL, NCO, MATLAB, and R, etc.).
- Excellent oral and written communication skills demonstrated by a record of presenting scientific information through papers and reports.
Benefits Overview:
UCAR affirms its commitment to employees through competitive benefits. In addition to medical, dental, vision, retirement, and life insurance, UCAR offers a variety of programs focused on work-life balance and professional, and personal development.
Commitment to Diversity, Equity & Inclusion: Our organization is committed to creating a diverse, equitable, and inclusive work environment.
Equal Opportunity Employer: UCAR is committed to providing equal opportunity for all employees and applicants for employment and does not discriminate on the basis of race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy.
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