Post-Doctoral Fellow - Information Systems, ML | Carnegie Mellon University Job at Carnegie Mellon University, Pittsburgh, PA

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  • Carnegie Mellon University
  • Pittsburgh, PA

Job Description

A postdoctoral scholarship is available for an outstanding researcher broadly experienced in graph mining and machine learning with a preferred focus on human mobility and spatio-temporal data modeling and anomaly detection.

Background in spatio-temporal models, graph learning, anomaly detection

PhD must have been completed within last 3 years

Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

About Carnegie Mellon University

Carnegie Mellon ( is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.

Connections working at Carnegie Mellon University

Job Tags

For contractors, For subcontractor,

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