Pacific Northwest National Laboratory Jobs

send a request via <a href="https://jobs.pnnl.gov/help.stm" rel="nofollow noopener" target="_blank">https://jobs.pnnl.gov/help.stm</a> </p><p><strong><em>Please be awar

Job Information

Pacific Northwest National Laboratory Post Doctorate RA - High Latitude Modeling and Analysis in RICHLAND, Washington

Organization and Job ID

Job ID: 312340

Directorate: Earth & Biological Sciences

Division: Atmospheric Sciences & Global Change

Group: Earth System Modeling

Job Description

The Atmospheric Sciences and Global Change Division at Pacific Northwest National Laboratory (PNNL) seeks a postdoctoral research associate to improve understanding and modeling of atmosphere-ice-ocean interactions, climate feedbacks, and their impact on polar amplification and global change. The successful candidate will perform analysis of observations and conduct modeling experiments using global or regional climate models to investigate processes that influence poleward transport and high-latitude systems. Expertise in modeling and analysis (including statistical and Machine Learning methods) relevant to atmospheric transport, clouds, precipitation, and climate dynamics is desired. A successful candidate will join an interdisciplinary team of researchers with a broad range of interests and expertise.

Required qualifications:

  • A Ph.D. degree in Atmospheric Sciences, Meteorology, Climate Science, Earth Sciences, Physics, Statistics, or a related field

  • Familiarity with high-performance computing, atmospheric modeling, and statistical analysis

  • Experience with computer languages usually used for modeling and analysis (Fortran, Python, NCL, C++, etc.)

  • Strong team player with the willingness and ability to work independently

  • Strong interpersonal communication skills

  • Ability to publish work in peer-reviewed journals

Minimum Qualifications

Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.

Preferred Qualifications

Demonstrated expertise in atmospheric transport, polar amplification, and feedback analysis

Demonstrated experience in using atmosphere models (e.g., EAM, CAM, WRF) and/or earth system models (e.g., CESM, E3SM)

Demonstrated experience in using a model hierarchy that includes single column model and regionally refined mesh

Demonstrated experience in advanced statistical analysis and/or machine learning techniques

Knowledge of novel data-model integration techniques

Experience in contributing to open-source projects on GitHub

Ability to think critically and pursue original ideas independently

Equal Employment Opportunity

Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via https://jobs.pnnl.gov/help.stm

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Directorate: Earth & Biological Sciences

Job Category: Post-Graduates and Post-Docs

Group: Atmospheric Science & Technlgy

Opening Date: 2021-07-07

Closing Date: 2021-08-05

DirectEmployers