40 phd-position-in-database-modeling Postdoctoral research jobs at Carnegie Mellon University
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Carnegie Mellon University, Mathematical Sciences Position ID: CMU -PDMFSA [#26884] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh, Pennsylvania 15213
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of Mathematical Sciences invites applications for a two- or three-year postdoctoral position in stochastic analysis, with a preference for mathematical finance, beginning in September 2026. A Ph.D. in mathematics
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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support the mission of the university through their work. Qualifications: PhD Degree in MSE/MECHE or a related field (e.g., physics, chemistry, chemical engineering) Publications in peer-reviewed journals
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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, air-liquid interface and organoid models, and differentiation of human iPSCs into lung epithelial lineages. Additional experience with hydrogel development or lung epithelial biology is strongly
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, air-liquid interface and organoid models, and differentiation of human iPSCs into lung epithelial lineages. Additional experience with hydrogel development or lung epithelial biology is strongly
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support the mission of the university through their work. Qualifications: PhD degree in Mechanical Engineering, Biomedical Engineering or a related field 1-3 years of experience Research and hands
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. Qualifications: Doctorate degree in Material Science and Engineering and in Engineering and Public policy or the equivalent. Experience in modeling battery lifetime and production operations for managing EV