Carnegie Mellon's Language Technologies Institute (LTI) seeks faculty candidates that have outstanding research and teaching credentials. The LTI is one of the world's largest academic centers for language and information technologies research and education, with expertise in a wide range of sub-areas including natural language processing, machine translation, speech processing, information retrieval, machine learning, and dialog systems. It has 30 faculty and more than 300 M.S. and Ph.D. students in five degree programs. All applicants must have a Ph.D. in computer science or a closely related field. Applicants for tenure-track appointments should also have a strong interest in graduate and undergraduate education. Applicants in all research areas related to our mission are welcome; however, the following topics are of particular interest:
- statistical natural language processing,
- structured learning from unstructured data,
- interactive intelligent systems,
- social media analysis,
- design and engineering of language technologies systems, and
- other novel language technologies.
For more information on applying, visit the School of Computer Science employment page.
Robust Automatic Speech Recognition in the 21st Century
Richard Stern, Carnegie Mellon University
2315 Doherty Hall
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