Postdoctoral Teaching Fellowship - Machine Learning Department


The Machine Learning Department (MLD) in the School of Computer Science (SCS) at Carnegie Mellon University (CMU) invites applications for our Postdoctoral Teaching Fellowship. This is a one-year position, beginning Fall 2023, with the possibility of renewal for a second year.

We seek PhD graduates with deep understanding of machine learning, data science, and computer science, with a demonstrated interest in teaching, and who aim to gain teaching experience. The Machine Learning Department is uniquely situated to offer both introductory and advanced courses in machine learning. The department’s course offerings draw students at all levels including undergraduates, Master’s, and PhD students, both from within the School of Computer Science and from other disciplines. The individual filling this position will have the opportunity to teach or co-teach lecture courses and to work with faculty to continue developing our curriculum in the rapidly advancing field of machine learning.

We also particularly encourage applications from candidates who have a demonstrated track record in tutoring, mentoring, and nurturing female and underrepresented minority students.

Candidates may start in either the Fall or the Spring. Initial review will be performed on applications received by March 1st, but applications will be considered year round.

Qualifications Application Instructions

For any questions regarding applications, please email

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.

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