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faculty position beginning Fall 2026 in the area of Scientific Machine Learning and AI for Science. We seek candidates working on the mathematical and computational foundations of Scientific Machine
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, associate, or full professor level with expertise in the area of Constitutional Studies(Law, History, and Theory). Considering the responsibility public institutions of higher education have to prepare
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through advances in statistical and mathematical AI and ML theory and algorithms. Examples of topics of interest include: statistically-principled methods for uncertainty quantification; operator learning
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oversee programs in PK-12 mathematics, science, and literacy as well as mathematics initiatives in higher education, including initiatives to align education and workforce. Responsibilities Develop and lead
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of Instruction, and Clinical series titles. Needed courses may range from introductory to advanced areas of specialization in marketing theory and practice related to marketing strategy, analytics, and consumer
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for an open rank position specializing in the history of political theory with a focus on American political thought. The position begins Fall of academic year 2026-27. Candidates’ research should focus
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Qualifications At least two years' experience with C/C++ programming and Python as well as familiarity with Linux shells such as bash. Experience developing scientific software applications and graphing sensor
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discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience
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projects as assigned that support the mission and strategic direction of OnRamps as an organization. Required Qualifications Bachelor’s degree in Mathematics, education, or related field. Demonstrated
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the acquisition, cleaning, and merging of existing data Quantitative data coding and analysis, including the creation of variables, graphs, figures, maps, descriptive statistics Creation of replicable file packages