University of Kansas

What you'll study

The doctoral programme combines rigorous coursework with an extended independent research project leading to a dissertation. Early study focuses on core theoretical and quantitative foundations: atmospheric dynamics, advanced thermodynamics, synoptic and mesoscale meteorology, boundary-layer processes and physical meteorology.

• Core coursework: Advanced atmospheric dynamics, atmospheric thermodynamics, synoptic and mesoscale meteorology, boundary-layer meteorology, radiation and cloud microphysics.
• Observations and remote sensing: Satellite meteorology, radar meteorology and instrument methods for observing the atmosphere.
• Numerical methods and modelling: Numerical weather prediction, model physics, data assimilation and high-performance computing for atmospheric applications.
• Statistical and data science tools: Time series analysis, statistical inference, machine learning methods applied to atmospheric datasets.
• Research training: Dissertation research under faculty supervision, participation in departmental seminars, and opportunities for field campaigns and instrument deployment.

Students typically complete a programme of advanced classes, pass qualifying or comprehensive exams, and undertake original research culminating in a defended doctoral dissertation. Teaching and mentoring experience through assistantships is commonly part of the training.

Entry requirements

Applicants are generally expected to hold a relevant master's degree or a strong honours bachelor’s degree in atmospheric science, meteorology, physics, mathematics, engineering or a closely related field. The department looks for a solid quantitative background and demonstrated research potential.

• Academic transcripts showing relevant coursework in calculus, differential equations, physics and introductory atmospheric science.
• A statement of research interests describing proposed doctoral research themes and fit with departmental expertise.
• Curriculum vitae highlighting research experience, programming and computational skills, and any publications or presentations.
• Letters of recommendation from academic or professional referees familiar with the applicant’s research ability.
• Evidence of English language proficiency for international applicants (institutional requirements apply).

Admission is competitive and often depends on alignment with faculty research interests and availability of funding or advising. Some applicants are admitted with conditional requirements to address gaps in background coursework.

Career prospects

Graduates of the PhD in Atmospheric Sciences and Meteorology pursue diverse careers that capitalise on advanced research, modelling and observational skills.

• Academia and research: University faculty, postdoctoral researcher positions and research scientist roles in academic groups.
• Government agencies: Research and operational roles with national meteorological services, environmental agencies and research laboratories.
• Operational forecasting and weather services: Severe weather forecasting, aviation meteorology and regional forecast centres.
• Industry and consulting: Private weather companies, energy and utilities (renewables and grid integration), environmental consulting, and air-quality management firms.
• Data science and technology: Roles applying machine learning, data assimilation and high-performance computing to large observational and model datasets.

Why study at University of Kansas

The University of Kansas offers a research-intensive environment with faculty expertise spanning mesoscale dynamics, severe-storm research, remote sensing, air quality and climate processes. Graduate students benefit from access to observational platforms, departmental instrumentation, and university high-performance computing resources.

Strong collaborative links with regional and national operational centres, government research programmes and interdisciplinary groups provide opportunities for applied research, field campaigns and partnerships. Small cohort sizes and close faculty mentoring support tailored research training and professional development, including teaching experience and grant-writing exposure.

Overall, the programme is designed to develop independent researchers equipped for careers in academia, government and industry where advanced understanding of atmospheric processes and quantitative skills are essential.