Job Listings

Position Description

The Department of Geosciences in the College of Arts & Sciences and the National Wind Institute (NWI) at Texas Tech University invites applications for a full-time, 9-month, tenure-track or tenured Professor of open rank, commensurate with experience, to begin 1 September 2026. 

Atmospheric hazards are becoming more frequent and more intense in a warming world. Growing resilient communities is a national priority. NWI has been expanding its effort to mitigate atmospheric hazards through the synthesis of the physical, social, data dimensions of the problem over a multi-year strategic hiring initiative.

In line with these initiatives, we seek applications from Atmospheric Scientists with experience using artificial intelligence/machine learning to extend Numerical Weather Prediction to advance physical/mathematical understanding of the atmosphere, implementing a working philosophy of using statistical/empirical methods alongside the laws of physics. Candidate should be familiar with a wide range of observational and model datasets and observation-model linkages, and modern data infrastructure, metadata, and open scientific software stacks that interface with industry and cloud efforts. Curricular interest in teaching and mentoring in discipline-relevant aspects of scientific computing and community/open-source scientific software is a plus. The candidate must be willing to work within a multidisciplinary group to develop engineering solutions and socially actionable strategies and plans that contribute to a reduction in the impact of atmospheric hazards on society.

Required Qualifications

1. Completion (by the time of the appointment) of a Ph.D. in Atmospheric Sciences or a related field.

2. The ability to develop and sustain a vibrant, nationally recognized and externally funded research program. 

3. Demonstrated potential for mentoring M.S. and Ph.D. students. 

4. A documented record or demonstrated potential for teaching graduate and undergraduate Atmospheric Sciences course work in their area of expertise. 

5. A demonstrated interest in working within a multi-disciplinary group to develop scientific, engineering, and socially actionable strategies that contribute to a reduction in the impact of atmospheric hazards on society. 

Position Description 

The Department of Geosciences in the College of Arts & Sciences and the National Wind Institute (NWI) at Texas Tech University invites applications for a full-time, 9-month, tenure-track or tenured Professor of open rank, commensurate with experience, to begin 1 September 2026.  

Atmospheric hazards are becoming more frequent and more intense in a warming world. Growing resilient communities is a national priority. NWI has been expanding its effort to mitigate atmospheric hazards through the synthesis of the physical, social, data dimensions of the problem over a multi-year strategic hiring initiative. 

In line with these initiatives, we seek applications from Atmospheric Scientists whose research intersects precipitation extremes with severe storm and hurricane hazards. Focus on remote sensing and/or modeling of precipitation in extreme weather scenarios with an interest in next-generation microphysics parameterizations and the improvement of storm-scale understanding as a means of improving the predictability of impacts within a dynamic climate system. The candidate will have expertise in cloud and precipitation microphysics and interest in working within a multidisciplinary team to merge knowledge for multi-hazard environments (e.g., hurricanes, severe thunderstorms), mitigate flood events, and translate f indings to operational improvements, engineering design considerations, and establishing relevant communications of societal impacts. Linkages to major federal science missions in precipitation science and cloud microphysics would be advantageous in leveraging recent successes at TTU in relevant NASA, DOE, and NOAA programs 

Required Qualifications

1. Completion (by the time of the appointment) of a Ph.D. in Atmospheric Sciences or a related f ield. 

2. The ability to develop and sustain a vibrant, nationally recognized and externally funded research program. 

3. Demonstrated potential for mentoring M.S. and Ph.D. students. 

4. A documented record or demonstrated potential for teaching graduate and undergraduate Atmospheric Science coursework in their area of expertise. 

5. A demonstrated interest in working within a multi-disciplinary group to develop scientific, engineering, and socially actionable strategies that contribute to a reduction in the impact of atmospheric hazards on society. 

Job Description

The Chubb Science Center (CSC) is a multi-disciplinary group within the Enterprise Risk Management function tasked with bringing state-of-the-art science to catastrophe underwriting and aggregation management. The CSC focuses on developing Chubb's view of risk for both modeled and non-modeled catastrophe perils globally, including integrating climate change research. Roles within the CSC provide an excellent opportunity to apply a scientific understanding of natural hazards to catastrophe solutions and their use in underwriting, pricing, and aggregation management.

Chubb is seeking a Director, Catastrophe Research Specialist to join the CSC. The interested individual will join a dynamic team composed of people with diverse backgrounds. This position will be responsible for supporting Chubb Tempest Reinsurance (CTR) catastrophe research and risk management initiatives. As part of the CSC, you will play an integral role in delivering risk management solutions to various internal stakeholders.

Responsibilities Include:

• Identify and quantify risk factors to facilitate the development and implementation of approaches for managing risks.
• Further develop Chubb view of risk by conducting independent research and integrating findings into the catastrophe modeling framework.
• Investigate, evaluate, and advise on new solutions for non-modeled and under-modeled region perils. Develop approaches and metrics to monitor non-modeled exposures and aggregations.
• Support underwriting and actuarial by providing technical expertise on catastrophe models.
• Support catastrophe event response activities by providing near real-time actionable insights to the business, claims and senior management.
• Assist CTR analysts with catastrophe modeling during peak renewal seasons as needed.
• Maintain current knowledge of industry regulatory requirements such as reporting mandates, concepts and procedures, compliance requirements, and regulatory framework and structure.
• Continuously seeks new ways of working to make processes run smoother and faster.
• Demonstrate the discipline of planning, organizing and managing activities to achieve specified outcomes within a clearly defined timeframe and standards.
• Communicate with clarity and precision, presenting complex information in a concise format that is audience-appropriate.

Qualifications

• Ph.D./Masters degree in meteorology, engineering, statistics, and natural or climate science
• Advanced knowledge of probability and statistics
• Experience with RMS products
• A proven ability to critically evaluate products and provide feedback in a fast-paced environment
• 5-7 years of experience in the validation or development of natural catastrophe risk assessment tools
• Strong computer skills including advanced knowledge of R or Python, Excel, SQL, and GIS tools is required
• Excellent analytical, communication and organization skills

Job Description

KTVZ News is looking for a Meteorologist/Multi-Media Journalist who can deliver accurate, clear, and engaging forecasts for Central Oregon’s #1 morning newscast in Bend, Oregon. Central Oregon offers one of the most exciting forecasting challenges in the Pacific Northwest. If you love connecting with viewers, making complex forecasts easy to understand, and turning local weather into compelling stories on multiple platforms, we’d love to hear from you. KTVZ News is community driven and locally focused, proudly owned by News-Press & Gazette. We believe local news should feel authentic, personal, and useful - especially in the morning when viewers are getting ready to start their day. A degree in atmospheric science, meteorology, or a related field is preferred. The ideal candidate will be able to communicate complex science in a relatable way, works well in a fast-paced morning news environment, and is proficient with modern forecasting tools and digital weather platforms.

Candidate must be able to pass pre-employment background check and drug screen. This position is eligible for a full array of benefits through our benefits hub: https://flimp.live/MyNewsPressBenefits. NPG of Oregon is an EOE, references must be made available upon request. 

Please put in Bend, OR as the location to find this job application on the job website.

Job Overview

The Meteorologist is responsible for creating and delivering accurate, engaging, and timely weather content across all platforms, including on-air broadcasts and digital channels.

Job Responsibilities

• Bachelor's degree in Meteorology, or a related field, or an equivalent combination of education and work-related experience.
• An AMS seal or the CBM from the American Meteorological Society is preferred.
• Experience with computer graphics and radar.
• Excellent weather and news judgment.
• Ability to think critically, quick and effective decision making, and live ad-libbing.
• Ability to work well under pressure while meeting daily assigned deadlines.
• Must be flexible to work any assigned shift including nights, weekends, and holidays.
• Experience, shooting and editing in non-linear format.
• Must have a valid driver's license and safe driving history as determined by the Company. Driving record will be checked.
• Demo reel or online portfolio required.
  
   

Position Description

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) is seeking a Postdoctoral Research Associate to work in the Precipitation and Advanced Radar Studies (PARS) team at the NOAA National Severe Storms Laboratory (NSSL) in Norman, Oklahoma (https://www.ou.edu/nwc). This role provides an exciting opportunity to lead and participate in cutting-edge research designed to investigate potential operational benefits provided by phased array weather radars. The primary duties of the position will be to lead research efforts to investigate how rapidly- and adaptively-scanned phased array radar data might be used to develop and/or improve severe weather detection and warning algorithms.  

Overview

In collaboration with NSSL research scientists and engineers, CIWRO scientists have been working to collect and analyze data from the Advanced Technology Demonstrator (ATD), a Sband, dual-polarization phased array weather radar that was designed to evaluate the operational potential of both rapid- and adaptive-scanning capabilities.  Over the past 3 years, nearly 500 hours of meteorological data have been collected by the ATD, primarily using scanning strategies that emphasized collecting data with both a higher temporal resolution and more dense vertical coverage than are currently possible WSR-88D radars, as well as unique datasets that leverage the flexible transmission modes and inertia-free beam steering afforded by phased array weather radars.  These data are therefore ideally suited for investigating how dual-polarization phased array radar data might be used to not only improve existing severe weather detection and warning algorithms, but to also develop new algorithms that demonstrate operational potential. 

Key Responsibilities

• Lead efforts to analyze dual-polarization data from the ATD with the goal of investigating how radar data collected with a higher temporal resolution might be used to improve existing severe weather algorithms.
• Lead and provide regular summaries of work accomplished through peer-reviewed publications and contributions to reports, as needed.
• Lead efforts to analyze dual-polarization data from the ATD with the goal of investigating how radar data collected with more dense vertical coverage might be used to improve existing severe weather algorithms
• Collaborate with other PARS scientists on the design of scanning strategies and collection of ATD data.
• Lead efforts to analyze data collected from the ATD utilizing non-conventional scanning strategies with the goal of investigating how radar data collected in ways not possible with the WSR-88D radars might be used to improve existing severe weather algorithms.
• Attend meetings and professional conferences to present research results and interact 

Qualifications

• Ph.D. in Meteorology, Atmospheric Science, or related area.
• Demonstrates expertise in weather radar systems, conventional and polarimetric radar products, and severe local storm research.
• Experience with scientific programming in UNIX/Linux systems using high-level programming languages such as Python, Matlab, C++, etc.
• Experience working with large datasets.
• Working knowledge of radar-based severe weather algorithms.
• Excellent oral and written communication skills.
• Ability to work independently and collaboratively and communicate effectively in a team environment. 

Overview

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) seeks to fill a Postdoctoral Research Associate position to work collaboratively with the NOAA National Severe Storms Laboratory (NSSL) in Norman, Oklahoma. This position will contribute directly to NOAA’s Warn-on-Forecast (WoF) program (https://wof.nssl.noaa.gov/), housed in the National Weather Center in Norman, Oklahoma (https://www.ou.edu/nwc). A successful candidate for this position will help develop the next generation WoF system using the regional Model for Prediction Across Scales–Atmosphere (MPAS-A) dynamic core and the Joint Effort for Data Assimilation Integration (JEDI) system.  

Job Responsibilities

As a CIWRO Post Doctoral Research Associate you will: 

• Help improve NCAR’s Model Prediction Across Scales (MPAS) dynamical core and physics configurations to optimize it for high-frequency data assimilation.
• Help create an MPAS ensemble configuration that matches or exceeds the skill of the current WRF-based system and is computationally efficient.
• Help test implementation of a JEDI-based MPAS-WoFS system.
• Serve as the lead and contributing author on scientific manuscripts for publication in peer-reviewed journals as well as present at conferences, workshops, and symposia.
• Creatively and efficiently solve scientific problems, independently and as part of the WoFS team. 

Qualifications

We are looking for candidates who possess:

• A PhD in Atmospheric Science or a related field.
• Experience with atmospheric weather models or 3D computational fluid dynamics models and an understanding of atmospheric dynamics and physics.
• Strong programming skills in Fortran, shell scripting, and Python, and experience working in Linux-based high-performance computing (HPC) environments.
• Knowledge of ensemble data assimilation concepts and methods (e.g., EnKF or hybrid ensemble–variational approaches).
• Excellent written and oral communication skills, with evidence of scientific publication and presentation.
• Ability to work both independently and collaboratively as part of a multi-institution, interdisciplinary team. 

Overview

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) seeks to fill a Research Scientist position to work collaboratively with the NOAA National Severe Storms Laboratory (NSSL) in Norman, Oklahoma. This position will contribute to NOAA’s Warn-on-Forecast (WoF) program (https://wof.nssl.noaa.gov/), housed in the National Weather Center in Norman, Oklahoma (https://www.ou.edu/nwc). A successful candidate will advance next-generation WoF System (WoFS) by integrating machine learning (ML) and deep learning (DL) into Model for Prediction Across Scales–Atmosphere (MPAS-A) dynamical core and the Joint Effort for Data Assimilation Integration (JEDI) to develop hybrid AI–Numerical Weather Prediction (NWP) methods that improve forecast performance. 

Job Responsibilities

• Contribute to the design, implementation, and testing of AI/ML and deep learning approaches relevant to ensemble data assimilation and storm-scale prediction in MPASJEDI-based WoFS.
• Explore hybrid AI–NWP and AI/ML enabled data assimilation workflows that combine data-driven approaches with physics-based numerical models.
• Develop and evaluate ML-based bias correction, calibration, and improved uncertainty representation in ensemble forecasts, and verify performance against baseline or operational configurations.
• Lead and 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. 

Required Qualifications

We are looking for candidates who have: 

• A PhD in Atmospheric Science, Meteorology, Data Science, or a related field.
• Experience with numerical weather prediction or data-driven modeling.
• Experience in programming languages such as Python, and experience working in highperformance computing (HPC) and/or cloud-computing environments.
• Ability to work effectively in a collaborative, multidisciplinary research environment, with strong written and verbal communication skills. 

Preferred Qualifications

The ideal candidate will also have one or more of the following: 

• Experience with numerical weather prediction modeling and data assimilation (e.g., ensembles DA methods).
• Hands-on experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX), especially for scientific or spatiotemporal data.
• Experience developing, running, or analyzing MPAS, JEDI, or similar community modeling/DA systems. 

Position Description

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma currently is seeking a research scientist or research associate to construct a refined hail climatology for improving the understanding of hail occurrence to help support an Industry Proving Ground proposal.  The researcher will develop an improved understanding of historical hail frequency and drivers of these events ranging from storm-scale to synoptic-scales.  The primary tasks of this position are to construct a higher-resolution, multi-decadal hail climatology, help produce a polarimetric retrospective radar reanalysis, and investigate the storm and environmental characteristics associated with hail.  This position will be located in Norman, Oklahoma at the National Weather Center on the campus of the University of Oklahoma. 

Job Responsibilities

• Develop a high-resolution hail climatology to better constrain historical hail frequency;
• Construct a polarimetric radar retrospective for use in building the hail climatology;
• Attend meetings and professional conferences to present research results and interact with collaborators;
• Provide support for regular summaries of work accomplished through reports and/or peer-reviewed publications as needed;
• (Research Scientist only) Lead research leveraging the hail climatology to identify storm characteristics, near-storm environments, and synoptic-scale conditions that lead to hail;
• (Research Scientist only) Build an independent hail and severe storms research portfolio through lead-author publications and proposals. 

Qualifications

• Ph.D. (Research Scientist) or M.S. (Research Associate) in Meteorology, Atmospheric Science, or a related area;
• Preferred expertise in one of the following areas: Interpretation and analysis of radar signatures and near-storm environments associated with hail, manipulation and generation of large datasets especially radar and meteorological data, and/or machine learning;
• Experience with scientific programming on Linux systems using a high-level language (e.g., C++, Python, Java);
• Strong oral and written communication skills. 

Position Description

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at The University of Oklahoma (OU) is currently looking for a Research Scientist to work within the Social Science Research Team (SSRT). The SSRT is a cross-functional team in partnership with NOAA’s National Severe Storms Laboratory (NSSL) that evaluates how severe weather and tornado forecast and warning information is created, used and acted upon by various entities including National Weather Service (NWS) forecasters, NWS partners (such as emergency managers and broadcast meteorologists) and the public. This position will be in Norman, OK, housed within the National Weather Center, a highly collaborative operational, research, and academic environment containing several NOAA and OU organizations. The successful candidate  will work directly with development meteorologists and social scientists and will have opportunities to interact with the NWS, NSSL, and other NOAA labs, and the broader meteorological community. 

Job Responsibilities

• Collect data regarding NWS partner and public interpretation of severe weather and tornado forecasts and warnings using both qualitative and quantitative methods (this may include developing surveys, developing interview guides, moderating focus groups and/or conducting interviews)  
• Collect data from NWS forecasters, partners and members of the public after certain major tornado/severe weather events across the country (often in-person)
• Analyze data using applicable social science methods (for example, thematic coding or content analysis)
• Assist with data collection and analysis from Hazardous Weather Testbed experiments to better understand use of experimental products with both with NWS forecasters and partners (such as Probabilistic Hazard Information)  
• Prepare documentation on scientific activities, including conference presentations, technical reports and journal publications
• Lead or collaborate on scientific research proposals related to severe weather and tornado forecast/warning interpretation
• Perform quality control and de-identification of human subjects research data, such as interview transcripts  

Qualifications

• Ph.D. in Meteorology or Atmospheric Science with a background in social and behavioral science. Will also consider those with a Ph.D. in a social science field (for example: Communication, Geography, Information Science) with a background in meteorology
• Experience working with social science data (human subjects research data) and using qualitative/quantitative research methods
• Excellent oral and written communication skills
• Demonstrated ability to work and communicate effectively in diverse team environments
• Willingness to travel occasionally for fieldwork/data collection