Makoto Kelp
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PhD Positions in Machine Learning for Air Quality, Climate, and Weather University of Utah in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Tuition, stipend, and health insurance support will be provided for 1-2 PhD students starting in Fall 2027.
Country
United States
University
University of Utah

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About this position
Assistant Professor Makoto Kelp at the University of Utah is recruiting 1-2 PhD students for a Fall 2027 start date.
The group works on machine learning for policy-relevant problems in air quality, climate, and weather, with particular interest in multimodal ML for wildfire smoke and the use of AI foundation models to improve projections of ozone, aerosol, and dust. Related themes include wildfire smoke modeling and mitigation, deep learning in the atmospheric chemistry-climate system, and data-driven pollution sensing.
Funding: tuition, stipend, and health insurance support will be provided.
Ideal backgrounds: atmospheric science, meteorology, computer science, environmental science and engineering, data science, or related fields.
How to apply: review the group’s research page and complete the Google Form on the website. The professor says they will contact applicants to arrange a Zoom call for admissions.
Location: United States.
Funding details
Tuition, stipend, and health insurance support will be provided for 1-2 PhD students starting in Fall 2027.
What's required
Applicants should have an interest or background in atmospheric science, meteorology, computer science, environmental science and engineering, data science, or related fields. The post does not specify GPA, test scores, or prior degree requirements beyond applying for PhD study.
How to apply
Review the group’s research page and complete the Google Form on the website before applying. The professor will then reach out to applicants to schedule a Zoom call for admissions.
More information can be found here
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