Description Open-rank, tenure-track faculty position in Accounting at the Assistant, Associate, or Full Professor level commencing September 2027. Qualifications We invite applications from candidates at all ranks and career stages, with particular interest in candidates at the Associate or Full Professor level. Candidates should have completed, or be nearing completion of, a Ph.D. in Accounting or a related discipline. We seek scholars with strong theoretical, quantitative, and/or computational backgrounds—particularly those whose research leverages tools from artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and related methodologies. Applicants should demonstrate an established record of, or strong potential for, excellence in both research and teaching. Teaching responsibilities may include courses at the undergraduate, MBA, MSBA, and Ph.D. levels. The Accounting group at the Tepper School is interdisciplinary and collaborative. Our strengths lie in the interface of accounting, economics, and data analytics. Methodologically, we place a strong emphasis on applied theory/empirical/experimental research grounded in accounting, economic, and/or computational theories. Examples of research by current faculty include economic consequences of climate reporting, cognitive biases in processing financial reports, tax evasion and income inequality, performance pay in knowledge creation, the role of accounting in banking regulations, and AI-assisted anomaly detection of accounting records. We are at the frontier of accounting research aiming to address changing business needs due to rapid advancements in technology and the ubiquity of data by leveraging novel research approaches. The Accounting group at the Tepper School is ideally positioned to drive this innovation—bolstered by the recent establishment of the Accounting AI Research Lab and a strong track record of interdisciplinary collaboration with Carnegie Mellon faculty in economics, finance, statistics, machine learning, and computer science. Application Instructions Applicants should submit an application cover letter, a current CV, a current research paper, a research statement, other evidence of research excellence such as publications or working papers, if available, and three recommendation letters via Interfolio. For questions about submitting your application, please contact the Search Coordinator, Rosanne Christy, at rosanne@andrew.cmu.edu or 412-268-1320. Screening will commence immediately. In order to ensure full consideration, completed applications must be received by November 15, 2026. 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.