The Department of Computer Science at Brandeis University seeks an instructor for the COSI 230b Natural Language Annotation for Machine Learning (4 credits) course in Spring 2025. This course studies corpus linguistics, the computational study of any naturally occurring fragment of language, a key area for data mining, information extraction, and machine learning. Students model, annotate, train, test, evaluate, and revise their own corpus for machine learning. The class meets 2-3 times per week. Timing is negotiable.
Candidates with at least a Master’s Degree in CL/NLP or a closely related field, and teaching and/or industry experience working in in-depth ways with linguistic corpora for NLP will be given preference. Interested individuals should submit a cover letter, CV, a draft course syllabus, and names and contact information for two references. The deadline for first consideration is November 5, 2024, but applications will continue to be reviewed after this until the position is filled.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
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Diversity, equity and inclusion are important values at Brandeis today and always have been for they are rooted in our founding as an institution. These values serve as a reminder for self-reflection, and a continuous call to grow for us as Brandeisans. Founded as a model institution for ethnic and religious pluralism, Brandeis University welcomes students, faculty, and staff of all nationalities, religions, and orientations. Moreover, social justice is central to the mission of Brandeis, which endeavors to foster a just and inclusive campus culture that embraces the evolving diversity of our larger society. Read more online about our Mission and Diversity Statements at Brandeis Mission and Diversity Statements.
If you are interested in a role and have relevant experience but your work history does not align perfectly with every qualification in the job description, we nevertheless encourage you to apply.
Closing Statement
Brandeis University is committed to providing its students, faculty and staff with an environment conducive to learning and working and where all people are treated with respect and dignity. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, ethnicity, caste, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or Massachusetts law.