Job Summary:
The Department of Computer Sciences at the University of Wisconsin-Madison has embarked on a multi-year effort to grow its faculty, enhance its strengths in many areas of computing, and extend its impact in interdisciplinary areas. As part of this endeavor, and as part of the department's involvement in the Wisconsin Research, Innovation and Scholarly Excellence (RISE) Initiative at UW-Madison, we invite highly qualified candidates with expertise in natural language processing (NLP) to apply to a position at the assistant, associate, or full professor levels that will begin in August 2025. Natural Language Processing (NLP) is essential to facilitating interactions between humans and AI. We are particularly interested in candidates whose research and expertise are in causal inference for robust, reliable, and responsible NLP. The successful candidate will advance the educational mission of the College of Letters & Science, that values, prioritizes, and actualizes evidence-based and student-centered teaching and (undergraduate student) mentoring. They will contribute to an environment that fosters engagement and a sense of belonging for faculty, staff, students and members of the broader community.
Responsibilities:
Duties will include scholarly research in natural language processing and related areas of computer science; individual and classroom teaching in computer science at the undergraduate and graduate levels and advising and mentoring graduate students majoring in computer science or related areas; service to the department, college, university, and academic community, nationally or internationally. The successful candidate will participate in interdisciplinary and collaborative efforts with other departments, schools and colleges.
Education:
Required
Applicants must have a Ph.D. in Computer Science or in a closely related area prior to start of appointment.
Qualifications:
Successful candidates will show potential for developing an outstanding scholarly research program in one or more area(s) of computer science related to natural language processing and for innovative and for student-centered teaching in computer science at all levels. The successful candidate will demonstrate experience with fostering or the ability to foster a teaching, learning, mentoring, departmental, and research environment where all can thrive.
Work Type:
Full Time: 100%
This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.
Appointment Type, Duration:
Ongoing/Renewable
Anticipated Begin Date:
AUGUST 18, 2025
Salary:
Negotiable
ACADEMIC (9 months)
How to Apply:
Applications must be submitted through Academic Jobs Online. Application materials, including a curriculum vitae, statements of research and teaching objectives, three sample publications, names and contact information for at least three references, must be electronically submitted via http://cs.wisc.edu/faculty-apply. Applicants are encouraged to submit their applications as soon as possible and no later than December 1, 2024, to ensure full consideration. Applications will be accepted until positions are filled. Questions should be directed to recruiting@cs.wisc.edu.
Contact:
Stephen Wright
recruiting@cs.wisc.edu
608-316-4358
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Official Title:
Assistant Professor(FA040)
Department(s):
A48-COL OF LETTERS & SCIENCE/COMPUTER SCI/COMP SCI
Employment Class:
Faculty
Job Number:
306492-FA
The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence through diversity and encourage all qualified individuals to apply.
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