Post-Doctoral Fellow on Network Analytics
Carnegie Mellon UniversityAbout the role
Description
A postdoctoral scholarship is available for an outstanding researcher broadly experienced in graph mining and machine learning with a preferred focus on neural network based data modeling and anomaly detection.
Qualifications
Background in graph theory, graph learning/inference, and graph mining.
PhD must have been completed within last 3 years
Equal Employment Opportunity Statement
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.
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s