|Position Title||Assistant Professor, Renewable Full-Time, Department of Computer Science|
|Job Location||Main Campus - Hilltop|
The Department of Computer Science at the University of San Francisco is accepting applications for a full-time, renewable, non-tenure track Assistant Professor position starting in August 2017. This position is teaching and service focused with the potential for a multi-year contract and eventual promotion.
The Department of Computer Science is a diverse and growing community with 10 full-time faculty members, over 200 undergraduate CS majors, and over 50 masters students. While we are growing, the CS department maintains small class sizes with 30 or fewer students, project-based learning, and a high degree of student-teacher interaction.
The department is highly collaborative both within and outside the department. In addition to an undergraduate CS major and a masters program in CS, the department also supports a new interdisciplinary undergraduate major in Data Science as well as a masters program in Analytics. Several faculty members are NSF funded and collaborate with institutions in Silicon Valley and the San Francisco Bay Area.
The University of San Francisco is located in the heart of one of the world’s most innovative and diverse cities, and is home to a vibrant academic community of students and faculty who achieve excellence in their fields. Its diverse student body enjoys direct access to faculty, small classes and outstanding opportunities in the city itself. USF is San Francisco’s first university, and its Jesuit Catholic mission helps ignite a student’s passion for social justice and a desire to “Change the World From Here.” For more information, visit http://www.usfca.edu. USF has been recognized as a top 20 entrepreneurial research university (Forbes 2015).
Applicants will be expected to teach both undergraduate and graduate courses and to perform service duties to the CS department and university. The standard teaching load for this position at USF is three 4-unit courses per semester.
|Additional Knowledge, Skills, and Abilities|
Applicants must have a Ph.D. in Computer Science or a closely-related field. Strong applicants from all CS sub-disciplines will be considered. Applicants must demonstrate exceptional teaching ability. In addition, an understanding of and commitment to support the mission of the University of San Francisco are required.
|Special Instructions Summary||
To apply, please submit a cover letter, CV, teaching statement, and three letters of reference to https://gnosis.usfca.edu/search. To receive full consideration application must be complete and submitted by January 2, 2017. Please send questions regarding this position to firstname.lastname@example.org.
|Job Open Date||10/12/2016|
|Job Close Date|
|Posted until Filled||Yes|
The University of San Francisco is located in the heart of one of the world’s most innovative and diverse cities, and is home to a vibrant academic community of students and faculty who achieve excellence in their fields. Its diverse student body enjoys direct access to faculty, small classes and outstanding opportunities in the city itself. USF is San Francisco’s first university, and its Jesuit Catholic mission helps ignite a student’s passion for social justice and a desire to “Change the World From Here.” For more information, visit www.usfca.edu.
The University is an equal opportunity institution of higher education. The University does not discriminate in employment, educational services and academic programs on the basis of an individual’s race, color, religion, religious creed, ancestry, national origin, age (except minors), sex, gender identity, gender expression, sexual orientation, marital status, medical condition (cancer-related and genetic-related) and disability, and the other bases prohibited by law. The University reasonably accommodates qualified individuals with disabilities under the law.
|Fair Chance Ordinance||
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. For more information visit: http://sfgov.org/olse/fair-chance-ordinance-fco.
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