University of Michigan

What you'll study

This PhD programme emphasises original research guided by core training in theory, observation and computation. Early work typically covers advanced atmospheric dynamics, atmospheric thermodynamics, cloud microphysics, radiative transfer, boundary-layer processes and atmospheric chemistry. Students also take coursework in numerical weather prediction, data assimilation, remote sensing, and statistical methods for geophysical data.

Research pathways reflect the department's strengths and regional context and commonly include mesoscale meteorology (including Great Lakes and lake-effect processes), tropical and synoptic dynamics, climate variability and change, air quality and aerosol–cloud interactions, coupled land–atmosphere processes, and space-atmosphere interactions. Methodological specialisms include high-resolution modelling, data assimilation and machine-learning applications, field observations and instrument development, and satellite remote sensing.

Programme structure is research-led: students take a set of required and elective graduate courses in the first years, pass a qualifying examination or research proposal review, and progress to focused dissertation research under a faculty advisor. Teaching experience and participation in collaborative field campaigns or modelling consortia are common components of doctoral training.

Typical modules and subjects

• Advanced Atmospheric Dynamics
• Atmospheric Thermodynamics and Cloud Physics
• Boundary Layer Meteorology
• Radiative Transfer and Climate Processes
• Numerical Methods for Atmospheric Modelling
• Data Assimilation and Uncertainty Quantification
• Remote Sensing of the Atmosphere
• Atmospheric Chemistry and Aerosols
• Statistical Methods for Environmental Data

Entry requirements

Applicants are expected to hold a strong master’s degree in atmospheric science, meteorology, physics, applied mathematics, engineering or a closely related discipline. Exceptional candidates with a first-class or honours bachelor’s degree and substantial research experience may also be considered. Successful applicants demonstrate quantitative competence (advanced calculus, differential equations, linear algebra), programming skills (e.g. Python, Fortran, Matlab) and prior research or project experience.

Application materials typically include academic transcripts, a research statement outlining proposed interests and fit with faculty expertise, curriculum vitae, and at least three academic references. Standardised test policies can vary; applicants should check current guidance from the Rackham Graduate School. International applicants must meet English language proficiency requirements as specified by the university.

Career prospects

Graduates of the PhD programme pursue careers across academia, government and industry. Typical roles include university faculty and postdoctoral researchers, research scientists at national agencies and laboratories (for example meteorological and climate research centres), and roles in operational forecasting or climate services. Other career pathways include positions in environmental consulting, energy and utilities (climate risk and forecasting), aviation and transport meteorology, remote-sensing and instrument development, and data science roles applying physical and statistical modelling to environmental challenges. Graduates also work for NGOs and international organisations involved in climate policy, adaptation and resilience.

Why study at University of Michigan

The University of Michigan offers a rich, interdisciplinary environment for atmospheric research. The department's faculty conduct research that spans theoretical, observational and computational approaches and collaborate widely across campus with Earth and Environmental sciences, engineering disciplines, public health and policy units. Proximity to the Great Lakes provides exceptional opportunities for fieldwork and study of lake-influenced weather and air–sea interactions.

Students benefit from access to campus-scale computing resources, laboratory and instrument facilities, and opportunities to participate in regional and national field campaigns. The programme is administered through the university's graduate school framework, which supports professional development, teaching experience and cross-departmental research partnerships. This combination of specialised faculty, observational resources and collaborative networks helps prepare graduates to tackle complex atmospheric and climate problems in research and applied settings.