Job Description

Job Description Summary:

This full-time Project Scientist I position will lead and work with teams of RAL scientists and engineers to develop, enhance, and carry out:
1) multiscale WRF-FastEddy® coupled simulations of offshore boundary layers,
2) sub-meter scale modeling of within offshore platform effects,
3) simulations of transport and dispersion in complex meteorological environments, including obstacles.

Present work at relevant conferences and publish in peer-reviewed journals.
In addition, as a Project Scientist, I will contribute with other team members to extend physics parameterizations in microscale LES.

Responsibilities will include model and code development related to model improvements, scientific analyses, and verification of model output.

Position Details:

Visa Sponsored Job:

Yes

Relocation Assistance Eligible:

No

Job Location:

Boulder, Colorado

Position Type & Term:

Full time, Term - 6 months or more (Fixed Term)

Salary Range $92,103 - $115,128

*Final salary and rates are based on education, experience, and skills relevant to the role.*

Application Notes

Job Location:  Boulder, CO

 

Job Type:  Hybrid (minimum of 2 days a week is required to be on-site)

Position Type & Term:  Full-time, 1-year Term

Work Authorization:  Visa sponsorship IS available for this position

Relocation Assistance: NOT available for this position

Application Deadline: September 16, 2024

Required application materials: Resume

Background Checks: Conducted for candidates selected for hire. Learn more.
 

What You Will Do

Here is a brief summary of what one would expect to be generally responsible for in this role.

•  Work with RAL scientists and engineers to produce improved multiscale modeling capabilities for various applications (mesoscale-to-LES). In particular, conduct original research on methane emissions, transport, and dispersion in complex offshore facilities. This work will include:

​ 1. Designing mesoscale simulations of the offshore environment and characterizing relevant events/conditions from climatological analyses.

​  2. Development of coupled WRF-FastEddy® simulations to enable sub-meter modeling within complex offshore oil and gas facilities.

​  3. Validation of modeling results with in-situ observations.

• Lead analyses of wind, turbulence, and T&D patterns within offshore platforms to understand representativeness and propose the optimal location of sensors in the field

• Interact, coordinate with, and lead other scientists and engineers on specific scientific tasks to achieve project goals.

• Collaborate with a broader team of RAL scientists and engineers to extend RAL’s multiscale modeling capabilities. This will include incorporating, testing, and validating additional physics parameterizations in the FastEddy® LES model, including land-surface, radiation, and microphysics processes—contribution toward periodic releases of the FastEddy® open-source repository and corresponding documentation.

• Present results of research and development efforts in peer-reviewed journal articles and at scientific conferences and meetings with program sponsors. Prepare summary reports as needed.

 ​

Who We'd Love To Join Our Team

Successful candidates will ensure their application materials speak to the following criteria:

Education & Experience REQUIRED:

• PhD in atmospheric or physical science, or equivalent combination of education and experience.

Education & Experience Desired but Not Required:

• Post-doctoral experience is desirable.

  View Orignal JOB on: partimejobs.net

Knowledge, Skills, and Abilities REQUIRED:

• Comprehensive knowledge of microscale processes and large-eddy simulation (LES) numerical modeling.

• Comprehensive knowledge of mesoscale NWP modeling.

• Comprehensive knowledge of and experience in one or more of the following areas: boundary-layer processes, wind energy and turbine modeling, urban modeling, multiscale modeling, flows, and transport and dispersion in complex environments.

• Demonstrated peer-reviewed publication track in microscale modeling and LES.

• Demonstrated skill in programming with Python for model output postprocessing and scientific exploration and visualization.              

• Willingness to work with diverse scientific and technical teams.

• Experience with oral and written presentation of technical and scientific material. 

 Knowledge, Skills, and Abilities Desired but Not Required: 

•  Experience with NCAR/RAL’s FastEddy® model.

• Experience with GPU programming (CUDA) and C.

• Experience with machine learning techniques. 

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. These include:

• Tuition Assistance, time off allowance to attend classes, and other professional development opportunities

• UCAR contributes 10% of your eligible pay into your retirement account; 100% fully vested on day one

• Starting minimum accrual of 20 days of personal time off each year (prorated for less than full-time positions)

• 10 paid holidays

• 10 days of sick leave each year

• 12 weeks of paid parental leave

• Short-term medical leave paid at 100% of your regular salary

• EcoPass for local Colorado residents to use the Denver and Boulder-area transit system at no cost

Commitment to Diversity, Equity & Inclusion

Our organization is committed to creating a diverse, equitable, and inclusive work environment and fostering a culture where everyone feels welcome and supported. To learn more about these efforts, visit the Office of Diversity, Equity & Inclusion Strategic Plan and our Diversity & Inclusion: A Welcoming Workplace site. 

Research shows that women and people of color are less likely to apply for a position if they do not meet almost 100% of the desired skills and experience. Please note this is not necessary! If you meet the minimum requirements and have a passion for the work, you are encouraged to apply. We can provide on-the-job training for the rest!

Commitment to Job Application Fairness

Applicants are not required to provide age or age-related information and may redact information related to age, date of birth, or dates of attendance at or graduation from an educational institution from any submissions during the initial application process.

Some Final Considerations

At UCAR|NCAR|UCP, you will work alongside a dedicated team of professionals conducting critical research and community outreach to solve complex Earth system science  problems including climate change, air pollution, extreme weather, floods, drought, wildfires, and space weather, all with the goal of improving human life and reducing economic loss. Each of us, from scientists to the professionals who support their work, serves the public and a collaborative community of scientists in our mission to understand the complex processes that make up the Earth system, from the ocean floor to the Sun’s core.

Flexible Work

At UCAR, we are committed to supporting our mission by giving staff the flexibility to find the schedule and location that works best to maintain their own work-life circumstances and reach their full potential as professionals. Many positions within our organization are eligible for fully on-site, hybrid, fully-remote and/or flexible work schedules.

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. Whatever your intersection of identities, you are welcome at UCAR.

Export Control

All positions are required to comply with U.S. export compliance regulations work location requirements regarding access to facilities and research systems.

Visa Wait Times

Please consider the length of visa procurement when applying for this posting, understanding that you will not be able to begin employment until you are able to get a visa and enter the U.S.