Department of Linguistics - Computational Linguistics and Natural Language Processing
Position description
Tenure-track Assistant Professor in computational linguistics and natural language processing. The appointee is expected to develop an active research program in the use of computers, digital technologies, and quantitative methods to investigate fundamental questions about language structure, function, use, processing, or development. Possible research specializations include: corpus linguistics; statistical methods in language research and modeling language as a probabilistic system; machine learning, data mining, or other areas involving automatic analysis of naturally-occurring language data; linguistic and discursive features of computer-mediated communication; computational simulations of language development, variation, or change; deterministic implementations of rule-based grammars and computational approaches to knowledge representation of language as a symbolic system. The appointee will also be expected to build collaborations with faculty with shared interests in other disciplines, such as computer science, statistics, psychology, or communication; to actively seek external funding for research activities; to be committed to the research mentorship of graduate and undergraduate students from a wide variety of backgrounds; to be involved in curricular development and performance of service to the university and the profession; and to teach courses in computational linguistics and natural language processing, undergraduate-level courses in general topics in linguistics, and graduate-level courses in areas of specialization.
Application Requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Clearly state research and teaching interests and background
Official Graduate Transcripts
Summary or Abstract of the Pd.D. Dissertation
Writing Sample - Publication, submitted manuscript, or dissertation chapter
Writing Sample 2 (Optional)
Writing Sample 3 (Optional)
Statement of Contributions to Diversity - Diversity contributions documented in the application file will be used to evaluate applicants. Visit http://academicaffairs.ucdavis.edu/diversity/equity_inclusion/index.html for guidelines about writing a diversity statement and why one is requested.
(Optional)
- 3-5 letters of reference required