View of Madison

Faculty & Staff Recruitment

Faculty positions: Assistant Professor

As a part of the vision for the newly formed School of Computer, Data & Information Sciences (CDIS), 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, we invite highly qualified candidates in all areas of computer science, especially in machine learning, computer vision, natural-language processing, and software engineering, to apply to positions at the assistant professor level that will begin in August 2021.

Applicants must have a Ph.D. in Computer Science or in a closely related area prior to start of appointment. Successful candidates will show potential for developing an outstanding scholarly research program in one or more area(s) of computer science that is recognized by the leaders of the area(s) and for innovative and for student-centered teaching in computer science at all levels. Duties will include 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; scholarly research in one or more area(s) of computer science; service to the department, college, university, and academic community, nationally or internationally.

All applications must be submitted through Academic Jobs Online. Application materials, including a curriculum vitae, statements of research and teaching objectives, three sample publications, and names and contact information for at least three references, must be electronically submitted here: http://cs.wisc.edu/faculty-apply/. Applicants are encouraged to submit their applications as soon as possible and no later than March 31, 2021 to ensure full consideration. Applications will be accepted until positions are filled. Questions should be directed to recruiting@cs.wisc.edu.

The Department of Computer Sciences is among the oldest and top-ranked computer science departments in the world, renowned for its groundbreaking research in computer architecture, database systems, distributed and grid computing, nonlinear optimization, and many other areas of computer science. The department has a strong track record of support of transformative research and building large-scale computing infrastructures, such as HTCondor and CloudLab, and of new interdisciplinary collaborations, programs, and centers, including the Wisconsin Institutes of Discovery (WID). The department has also been the beneficiary of significant donations aimed at supporting its research and educational mission.

The new School of Computer, Data & Information Sciences (CDIS) is a significant resource for the Department of Computer Sciences to strengthen its interdisciplinary and cross-campus research collaborations, to establish new, innovative educational programs in the intersection of computing and other domains, and to promote engagement with high-impact, real-world challenges that can be addressed through computing. More information about CDIS can be found at https://cdis.wisc.edu.

Located at the nexus of four beautiful lakes, Madison, the capital of the state of Wisconsin and home to the University of Wisconsin-Madison, consistently ranks among the top American cities for its quality of life. With the headquarters of medical software company Epic, Microsoft’s Jim Gray Systems Lab, Google, and several other technology giants in the area, as well as a strong startup ecosystem, Madison is also among the fastest growing technology hubs in the country.

The University of Wisconsin-Madison is an equal opportunity/affirmative action employer committed to creating a diverse and inclusive community. We promote excellence through diversity and encourage all qualified individuals to apply. A background check is required prior to employment.

Center for High Throughput Computing:

Academic staff positions at the Center for High Throughput Computing