Job Listings

The National Weather Service has launched a major nationwide hiring initiative, filling positions at the majority of NWS offices across the country through three pooled vacancy announcement groups open from May 1 through September 30, 2026.

Interested applicants can apply to different offices through each of the three announcements on USAJOBS.gov:   Possible recruitment incentives. Eastern US, Western US.

Applicants can apply to all three vacancy groups to maximize their chances.  They can select up to ten locations for the “Eastern” and “Western” announcements. They can select an unlimited number of offices on the announcement with Possible Recruitment Incentives.

Apply early, as hiring is continuous and likely to begin several weeks after the announcements are posted. Applicants will be required to take an online assessment through the USA Hires platform, with an estimated completion time of 1-3 hours.

If you have questions about what it’s like to work at the National Weather Service or need advice on the federal process, Michael Jurewicz (Michael.Jurewicz@noaa.gov) at the local State College NWS office is happy to be a resource.  In addition, this could be another helpful resource for those applying for NWS jobs, particularly for the first time.
 

Position Description

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at The University of Oklahoma (OU) is currently seeking a Research Associate or Research Scientist to contribute to NOAA’s Warn-on-Forecast program in collaboration with CIWRO and National Severe Storms Laboratory (NSSL) scientists. The position focuses on advancing Warn-on-Forecast System version 2 (WoFSv2), a next-generation system that integrates physics-based modeling, advanced data assimilation (DA), and Artificial Intelligence (AI/ML). Built upon the regional MPAS-A dynamical core and the Joint Effort for Data Assimilation Integration (JEDI) framework, WoFSv2 explores emerging AI/ML technologies to optimize DA, model physics, and probabilistic hazard guidance. The position is part of the Data Assimilation and Modeling (DAM) team at CIWRO, located in the National Weather Center (NWC) in Norman, Oklahoma. 

The duties of this position are:

• Design, implement, and test AI/ML approaches for storm-scale ensemble DA and prediction within a hybrid physics–AI WoFSv2 framework. 
• Apply emerging AI/ML methods to improve ensemble design, ensemble generation, uncertainty representation, and workflow efficiency. 
• Develop and evaluate AI/ML methods for model physics, post-processing, bias correction, and probabilistic hazard guidance. 
• Contribute to peer-reviewed manuscripts and present results at conferences, workshops, and project meetings. 
• Collaborate with scientists to transition research advances into testbed-ready guidance and experiments. 
• (Research Scientist only) Build and sustain an independent research portfolio aligned with the priorities of the Warn-on-Forecast program, including lead-author peer-reviewed publications and competitive research proposals. 
• (Research Scientist only) Provide scientific leadership in conducting and coordinating research efforts to advance the Warn-on-Forecast System. 

Qualifications

•  Ph.D. (Research Scientist) or M.S. (Research Associate) in Atmospheric Science, Meteorology, Computer Science, Data Science, or a related field.
• Experience programming in Python or similar scientific computing languages.
• Ability to work effectively in a collaborative, multidisciplinary research environment, with strong written and verbal communication skills. 

Applicants should identify expertise within one or more of the following areas (an applicant need not demonstrate experience in all areas to be considered):   

• Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• Experience with AI/ML methods for geophysical applications, numerical weather prediction or data-driven modeling.
• Experience with DA concepts, especially ensemble DA methods, and/or forecast verification. 

How to Apply

Applications should be emailed to ciwro-careers@ou.edu, Attn: WoFS AI-ML, and include a cover letter, the names and contact information for three references, and your resume/CV. The cover letter must highlight your interest in the position and describe how you meet the position qualifications. Applications will be accepted until the position is filled. The starting date is negotiable. 

Your New Role...

CNN Weather is seeking an experienced, digital-first editor to lead and shape our features coverage, where science meets awe and explanation meets lived experience. This senior editor will be responsible for guiding our feature content across the natural world, space, Earth science, climate and travel. They will shape explanatory and experience-driven stories that connect audiences to the forces shaping the planet. The successful candidate thrives in building beautiful, durable journalism that creates curiosity and habit.

The ideal candidate has strong editorial judgment and editing skills, a deep appreciation for natural-world storytelling and a sharp instinct for framing complex topics in ways that are accessible, visually dynamic and emotionally resonant. They understand how to make science feel human and relevant.
This person is a collaborative leader who can bring together meteorologists, reporters, visual journalists, illustrators, video producers and designers to create distinctive visually led features.

They will also work across the newsroom to take advantage of the expertise and experiences of CNN reporters and service journalists alike. They will ensure that our coverage reflects the full scope of our mission — pairing urgency with wonder, context with beauty, and expertise with delight.
Finally, this person must embody the CNN Weather & Climate team’s ethos — we are looking for a self-motivated, team-oriented collaborator who takes pride in their craft, values diverse perspectives and elevates colleagues.

Your Role Accountabilities...

• Identify and execute a features plan around weather, travel, space, science and our lived experience in the natural world
• Develop and assign distinctive, visually rich story ideas that translate complex science into compelling digital experiences
• Work across formats beyond the traditional article, including short-form, interactive, visual explainers, video scripts and social content
• Serve as a senior editorial voice for features coverage, operating independently when needed
• Work closely with meteorologists, climate reporters and science contributors to elevate their reporting into highly engaging, multi-platform formats
• Collaborate with photo editors, video producers, illustrators and designers to ensure stories are visually ambitious and distinctive
• Ensure that travel and experience-driven stories remain grounded in science and aligned with the team’s editorial mission
• Balance timely news pegs with durable, evergreen storytelling that builds audience habit and affinity
• Last but never least: Editors are often the final eyes on a story before it reaches millions of people worldwide. This editor will uphold CNN’s standards for accuracy, fairness and clarity, ensuring scientific precision and audience trust in every piece

Qualifications and Experience...

• Significant digital editorial experience in science, climate, weather, space or environmental journalism
• Demonstrated experience shaping explanatory or visually driven storytelling, particularly in a product or social format, like Snapchat Discover or Instagram or in news app products
• Experience working with and coaching on-camera talent, helping experts translate complex ideas into compelling, personality-driven video formats
• Strong editing skills with the ability to translate complex scientific material into accessible language without oversimplifying
• Excellent news judgment, including the ability to identify both timely and durable opportunities
• Experience collaborating with multidisciplinary teams, including visual and video partners
• Strong headline and framing instincts that spark curiosity while maintaining credibility
• Familiarity with Earth science, atmospheric science, climate systems or planetary science preferred
• Ability to manage multiple projects simultaneously with minimal supervision
• Exceptional communication and organizational skills
• A college degree or equivalent experience
   

Position Description

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at The University of Oklahoma (OU) is currently seeking a Research Associate or Research Scientist to advance the Probabilistic Hazard Information (PHI) project in collaboration with CIWRO and National Severe Storms Laboratory (NSSL) scientists. The position focuses on developing scientific applications, algorithms, and applied research that support forecasters in the warning decision-making process for severe convective weather events. This position is part of the Severe Convective Probabilities and Impacts (SCPI) team at CIWRO, located in the National Weather Center (NWC) in Norman, Oklahoma. 

Job Responsibilities

• Design, implement, and test emerging algorithms and techniques including AI/ML methods, for short-term probabilistic prediction, tracking, nowcasting, and verification.
• Apply knowledge of severe local storms and current advances in meteorology and remote sensing to develop applications and tools that improve probabilistic hazard guidance and warning decision-making.
• Contribute to applied research and operational experiments in the Hazardous Weather Testbed and with NWS forecasters that facilitate the evolution of how severe convective weather threats are analyzed and communicated
• Contribute to peer-reviewed manuscripts and present results at conferences, workshops, and project meetings.
• (Research Scientist only) Build and sustain research portfolio aligned with PHI and severe weather warning priorities, including lead-author publications and competitive proposals. • (Research Scientist only) Provide scientific leadership to advance PHI applications and warning decision-support capabilities. 

Qualificaions

• Ph.D. (Research Scientist) or M.S. (Research Associate) in Atmospheric Science, Meteorology, or a related field.
• Experience with scientific programming using a high-level language, such as C++, Java, or Python.
• Experience with statistical methods or software for meteorological data analysis and visualization
• Ability to work effectively in a collaborative, multidisciplinary research environment, with strong written and verbal communication skills. 

Application Process

Applications should be mailed to ciwro-careers@ou.edu Attn: PHI and include a cover letter, the names and contact information for 3 references, and your resume/CV. The cover letter must highlight your relevant qualifications and how they can contribute to the PHI team. Applications will be accepted until the position is filled. The starting date is negotiable. The University of Oklahoma is an equal opportunity/Affirmative Action emplo

Job Summary

The Cooperative Institute for Research in Environmental Sciences (CIRES) at CU Boulder encourages applications for a research scientist position within the National Oceanic and Atmospheric Administration (NOAA) Chemical Sciences Laboratory (CSL) in Boulder, Colorado. This role will contribute to the Tropospheric Chemistry Program, working alongside federal and university employees engaged in research investigating trace gases and aerosol particles and their impacts on atmospheric composition and weather. Our group develops and deploys world-class instrumentation to measure these species in the field on stationary and mobile research platforms, including research aircraft.

The successful candidate will become a key member of the FarmFlux Science Team, CIRES, and NOAA CSL’s Tropospheric Chemistry Program. This position involves investigating the emissions and atmospheric chemistry of greenhouse gases and other reactive nitrogen species, including ammonia and nitrous oxide, during the NASA FarmFlux Earth Venture Suborbital program (EVS-4) in 2027. This role offers a unique opportunity to conduct airborne atmospheric composition and chemistry research using state-of-the-art instrumentation to study the nitrogen cycle between agricultural systems and the atmosphere. The candidate will participate in field research, collecting in-situ atmospheric observations aboard a NASA heavy-lift research aircraft during the FarmFlux mission. These data will then be used in airborne eddy covariance flux calculations, emissions source identification and source apportionment analyses, and thermodynamic models. Results will be used for comparisons to emissions inventories and assessments of the air quality and climate impacts of the related emissions and atmospheric processes. Airborne sampling will concentrate on agricultural regions in the Midwestern U.S. and California. This position requires domestic travel for field work and scientific meetings totaling up to 3 months per year.

CSL has a collaborative lab culture, and we are looking for a candidate who actively subscribes to this philosophy. Successful candidates will demonstrate competence and sensitivity in working in a collaborative community.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

What Your Key Responsibilities Will Be

• Independently operate, calibrate, and maintain a suite of commercial and custom-built analyzers (e.g., infrared laser spectrometers) within the Tropospheric Chemistry Program instrument suite for measuring greenhouse gases and reactive nitrogen species, including CO, CO₂, CH₄, N₂O, ethane, and ammonia. Assist in maintaining associated calibration systems and other instruments in both laboratory and field environments. (30%)
• Support the deployment and operation of these trace gas analyzers on airborne platforms such as the NASA P-3, with anticipated participation in the FarmFlux mission in 2027.
• Responsibilities include instrument integration, operation during flights, and travel to remote field locations for extended periods. (20%)
• Analyze and interpret multi-parameter datasets collected during field campaigns and laboratory experiments using existing software tools to analyze data and ensure high-quality data products. Collaborate with other instrument investigators to support integrated data interpretation. (20%)
• Develop scientific findings based on observations and analyses, and present results at scientific meetings and in peer-reviewed publications. (20%)
• Collaborate with a team to develop and enhance instrument measurement and calibration capabilities, including advancing methodologies, tools, and new software relevant to future airborne missions. (10%)

What We Require

• A Ph.D. in chemistry, physics, atmospheric sciences, environmental engineering, or a closely related field.
• Experience with the operation and maintenance of complex instrumentation for collecting atmospheric observations in a laboratory and field environment.
• Experience in experimental physical sciences and data analysis.
• Experience with data interpretation for the presentation of scientific results at meetings and publication in scientific journals.
• Ability to perform required duties associated with two 4-week domestic field deployments in support of the airborne FarmFlux science mission.