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PhD positions in mathematics supported by RTG on Optimization and Inversion

University of Utah, Department of Mathematics
Salt Lake City, Utah
Closing date
Dec 4, 2022

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Career Level
Student / Graduate
Education Level
Job Type
Relocation Cost
No Relocation
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As part of the NSF-funded Research Training Group “Optimization and Inversion for the 21st Century Workforce,” the Department of Mathematics at the University of Utah invites applicants for graduate student (PhD) research assistantships. These positions involve working closely with applied mathematics faculty to contribute to RTG initiatives and the overarching goals of the RTG as described at For further information, please contact Professor Ken Golden,

Admission to the PhD program in Mathematics requires a Bachelor's degree in Mathematics (or a related field). Candidates with a strong academic background (e.g., GPA and GRE scores) and strong potential for research are invited to apply. General information about the PhD program can be found at, and instructions for applying can be found at To be considered for RTG support, applicants must be US citizens, nationals, or permanent residents, but admission to the PhD program is open to all nationalities and backgrounds.

The faculty in the Department of Mathematics at the University of Utah that specialize in applied mathematics have diverse areas of expertise, spanning the mathematics of materials and fluids, data science, optimization, inverse problems, machine learning, climate science, probability and statistics, numerical analysis and PDEs. More information about the group can be found at


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