**Description** Carnegie Mellon University in Qatar invites applications for one or more postdoctoral fellow positions in Computer Science. These positions are designed for candidates who are interested in enhancing their teaching portfolio, along with their research portfolio, to be better prepared for future academic positions. The positions expect candidates to relocate to Carnegie Mellon’s campus in Doha in **August 2025** . Responsibilities include supporting two to three advanced undergraduate courses per year, holding recitations/office hours, working closely with students, and supporting our general educational mission. In addition to this load, successful candidates are expected to conduct research in collaboration with CMU-Q faculty or local partners. We are particularly interested in candidates in the areas of Theoretical Computer Science, Artificial Intelligence, Machine Learning, or Deep Learning. Outstanding candidates in other areas are also encouraged to apply. CMU Qatar's benefits package is highly attractive, with salaries comparable to those in the US, but free of tax. Relocation, housing, transportation, and health benefits are also covered. **About CMU in Qatar** CMU in Qatar (CMUQ) operates in concert with several other American and European branch campuses under the umbrella of Qatar Foundation’s Education City ( https://www.qf.org.qa/education/education-city ). The branch campus closely follows the admissions requirements and English language curriculum of the home campus in Pittsburgh, USA which awards all degrees. The several thousand students in the Education City are a broad mix of nationalities, but primarily from the Middle East, North Africa, and South Asia. CMUQ’s faculty is a mix of professionals hired specifically for this campus and seconded by faculty from the main campus. CMUQ’s primary focus is undergraduate education in Business Administration, Biological Sciences, Computer Science, and Information Systems. **Our Commitment to Diversity, Equity, and Inclusion** Carnegie Mellon University is an equal opportunity employer and is committed to increasing the diversity of its community on a range of intellectual, cultural, and social dimensions. Carnegie Mellon welcomes faculty applicants who will contribute to this diversity through their research, teaching, and service, including women, members of minority groups, protected veterans, individuals with disabilities, and others who would contribute in different ways. **Qualifications** + Have completed a PhD in computer science or related fields by the time of being hired. + A proven track record of productive research. + Exceptionally strong communication and interpersonal skills. + Desire to gain hands-on teaching experience. + Be able to work independently, as well as in a team. **Application Instructions** Application reviews will begin on November 1st, but they will be accepted until the position is filled. Candidates must submit their applications electronically at: https://apply.interfolio.com/155383 + CV + Statement of interest + Teaching statement + Research statement **Equal Employment Opportunity Statement** **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders. Consistent with this commitment, Carnegie Mellon will no longer be requiring or considering applicant diversity statements. If you are interested in this position and have not yet submitted a diversity statement, please do not do so. If you have already submitted a diversity statement, please know that any diversity statements submitted by applicants for this opportunity will not be considered in the hiring decision.