Tenure-Track Faculty Position in Atmospheric / Climate Science

University of Michigan; Ann Arbor (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

University of Michigan, Ann Arbor, invites applications for a tenure-track faculty position in the Department of Climate and Space Sciences and Engineering (CLaSP). We seek an assistant professor with a strong foundation in atmospheric dynamics and weather/climate research, including modeling, forecasting, and AI applications.

The successful candidate will develop an internationally recognized research program, contribute to education at undergraduate and graduate levels, and mentor diverse

Qualifications

• PhD in meteorology, atmospheric science, or related fields.
• Evidence of potential for externally funded programs.
• Experience mentoring graduate and undergraduate students.

Responsibilities

• Develop an internationally recognized research program.
• Teach at undergraduate and graduate levels.
• Mentor students and contribute to department diversity.

Skills

Atmospheric dynamics

Weather modeling

Forecasting

Machine learning

AI in meteorology

Education

PhD in meteorology or related field

Job description

Tenure-Track Faculty Position in Atmospheric / Climate Science at the University of Michigan, Ann Arbor
University of Michigan-Ann Arbor: College of Engineering: Climate and Space Sciences & Engineering
Location
Ann Arbor, MI

Description
The Department of Climate and Space Sciences and Engineering (CLaSP) in the College of Engineering at the University of Michigan (U-M) in Ann Arbor, Michigan, invites applications for a tenure-track faculty position. We seek to hire a faculty member at the assistant professor level whose research advances our understanding of weather systems and extreme weather, with a strong foundation in atmospheric dynamics and the coupled Earth system. Areas of expertise could include high-resolution weather and climate modeling and forecasting; the detection and attribution of extreme events; and assessments of the subseasonal-to-seasonal or decadal evolution of weather and climate. Machine learning and artificial intelligence (AI) methods are widely applied in meteorology and atmospheric modeling and are revolutionizing prediction and forecasting; we expect the successful candidate to contribute a high level of expertise in this area.

Qualifications
We seek candidates capable of developing an internationally recognized research program, competing successfully for external funding, mentoring graduate and undergraduate students, contributing to our educational mission at both the undergraduate and graduate levels, and strengthening the culture, diversity, and collaborative environment of the department, college, and university. We value applicants whose research and teaching interests are interdisciplinary and have the potential to address real-world weather and climate impacts.

A PhD in a subject related to meteorological, atmospheric, or climate sciences, or other relevant disciplines in sciences or engineering is required. For full consideration, applications should be received by November 13, 2026.