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University of Wisconsin-Madison

Scientist

University of Wisconsin-Madison

. Conduct tropical cyclone research and product development for the CIMSS tropical cyclone research team .

Posted 10/12/2026full-timeMadison • Wisconsin • United StatesMid-LevelSenior💰 $120,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in tropical cyclone research and remote sensing, with a strong focus on developing decision-support information and algorithms for operational systems. Proven ability to lead research teams, secure funding, and communicate findings effectively through publications and presentations.

Highest-signal resume keywords
Tropical Cyclone Remote SensingNumerical Weather Prediction ModelsPython ProgrammingResearch Funding AcquisitionGeostationary Weather Satellite Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Tropical Cyclone ResearchRemote SensingNumerical ComputingMachine LearningData AnalysisAlgorithm DevelopmentStatistical ModelingExperimental DesignSatellite Data ProcessingResearch Methodology
Soft Skills
LeadershipCommunicationCollaborationPresentation SkillsProblem Solving
Tools & Technologies
HDFNetCDFAgile Software DevelopmentContinuous IntegrationGitSoftware Containerization
Certifications & Qualifications
PhD in Atmospheric Science
Industry Keywords
Tropical CycloneWeather SatellitesFederal Research FundingNOAANASADODField CampaignsPeer-Reviewed PublicationsResearch ProposalsMeteorological Data

Tech Stack

Tools & technologies
PythonRemote SensingShell Scripting

About the role

Key responsibilities & impact
  • Conduct tropical cyclone research and product development for the CIMSS tropical cyclone research team
  • Develop actionable near-real-time tropical cyclone decision-support information from modern weather satellites
  • Lead research using infrared and microwave measurements from GOES, JPSS, and related international and commercial satellite assets
  • Develop global tropical cyclone intensity and dynamic products
  • Merge satellite observations with radar, airborne measurements, and numerical weather prediction models to improve storm development, intensification, and track forecasts
  • Lead development, testing, delivery, and integration of algorithms into operational production systems
  • Conceptualize new research directions and pursue federal funding
  • Give scientific and technical presentations at symposia, conferences, and workshops
  • Author peer-reviewed journal articles and report findings to federal sponsors
  • Conduct literature reviews, prepare reports and materials, and disseminate research information
  • Write or assist with grant applications and proposals
  • Monitor program budgets and approve unit expenditures
  • Facilitate scholarly events and presentations
  • Collect and analyze complex research data, conduct experiments and interviews, and document results
  • Serve as a subject matter expert and liaison to internal and external stakeholders
  • Identify research problems and develop complex research methodologies and procedures
  • May supervise day-to-day activities of a research unit

Requirements

What you’ll need
  • Minimum of 6 years in tropical cyclone remote sensing and research
  • Established peer-reviewed publication record
  • Capacity to lead a research science team, including defining research priorities, implementing approaches, managing personnel, and reporting findings
  • Experience leading or participating in tropical field campaigns
  • Broad understanding of current and future geostationary and low-Earth orbiting weather satellite capabilities for weather decision support and remote sensing applications
  • Successful record of securing extramural research funding via science proposals to federal agencies such as NOAA, NASA, and DOD
  • Experience working with large meteorological satellite datasets, passive microwave and radar data products, and numerical weather prediction models
  • Strong technical background in numerical computing and machine learning approaches, especially for feature detection and tracking in multi-channel imagery
  • Proficiency in Python, shell scripting, HDF, and NetCDF
  • PhD in Atmospheric Science or a related field
  • Eligibility to work in the United States without employer sponsorship; OPT and OPT-STEM are not eligible
  • Experience with Agile software development, continuous integration, Git, software containerization, and commercial satellite data sources preferred
  • Strong written and oral communication skills and ability to pursue national and international collaborations

Benefits

Comp & perks
  • 40% remote work eligibility with an approved flexible work arrangement
  • Own high-speed internet and phone required for remote work
  • Generous paid time off
  • Health, dental, vision, and life insurance
  • Tax-advantaged savings accounts
  • Participation in the Wisconsin Retirement System pension fund