Computer Science – Tenure-Track

Job ID:
Job date: 2014-10-14
End Date:

Company : California State University 

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Role : Faculty 


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Job Description:

Listing Info

The Computer Science Department at California State University, Fullerton (CSUF) invites applicants for several full-time, tenure track positions as Assistant Professors of Computer Science with the appointments beginning in January or August 2015. The department seeks experts in all areas but a preference will be given to those with specialized knowledge of security, computer vision, computer graphics, bioinformatics, distributed computing, AI/machine learning, and high performance (GPGPU) computing. Candidates from traditionally underrepresented groups in computer science who are passionate about undergraduate education are encouraged to apply regardless of their area of expertise.
CSUF is located in Orange County 25 miles south of Downtown Los Angeles, 20 miles east of the Pacific Ocean. The city of Fullerton has a Mediterranean climate and a diverse population with many cultural attractions. CSUF has the largest student body out of the 23 campus California State University system. The computer science department offers a B.S. in computer science, an M.S. in computer science and an online M.S. in Software Engineering.

Positions
The successful candidate must demonstrate interest and ability to teach courses in computer science at lower- and upper-division levels. Teaching responsibilities will include undergraduate and graduate level lecture and laboratory courses and specialty courses in the candidate's area of expertise. Interdisciplinary research collaborations within the department and college are encouraged. Faculty members are expected to contribute to the diversity and relevance of our curriculum by revising and proposing new courses, and teaching a variety of courses.
The successful candidate is expected to maintain a rigorous, on-going commitment to funded research involving undergraduate and Master's students, which results in publications in high-quality peer-reviewed conferences and journals and to have regular interaction with the professional community. Student advisement and department, college and university service are also part of the responsibility of tenure-track faculty.

Essential Qualifications
An earned Ph.D. in Computer Science by the date of appointment.
Demonstrated ability to effectively teach computer science curriculum through teaching assistantships and being the instructor of record.
Ability and willingness to promote undergraduate and graduate student success through research, mentorship, advising, co-curricular activities and other high impact practices.
Recent research experience as evidenced by publications in refereed venues within the last three years.
High potential to develop and pursue an independent externally funded research program involving undergraduate and Master's students.
Excellent written and verbal communication skills in English.

Preferred Qualification

Ability and willingness to interact effectively with a wide and culturally diverse range of students and colleagues.
An ideal candidate is familiar with the mission of CSUF and the role the CSU plays in The California Master Plan for Higher Education.
Rank & Salary
The positions will be at the rank of Assistant Professor (tenure-track). Salary is highly competitive and commensurate with qualifications, experience and local cost of living. CSUF operates on a semester system that enables faculty to teach in January and/or during the summer for additional salary. Faculty may also apply for intramural grants to do research during those months. An excellent comprehensive benefits package is available which includes health/vision/dental plans; spouse, domestic partner and/or dependent fee-waiver; access to campus child-care; and a defined-benefit retirement through the state system, along with optional tax-sheltering opportunities. For a detailed description of benefits, go to http://hr.fullerton.edu/payroll_benefits/HealthCarePlans.asp

Appointment Date
January or August 2015
Application Procedure
A complete on-line application/resume must be received by electronic submission in order to receive consideration. To apply, go to: http://hr.fullerton.edu/jobs , click on "University Employment", select "Faculty Opportunities", then click on "Search" to view all job listings or type in 7344BR in the "AutoReqId" section to bring up the position and upload the following materials:
Curriculum vita listing your degrees, professional and teaching experience, and peer-reviewed publications
A letter of application (suggested maximum: 500 words)
Teaching philosophy (suggested maximum: 1,500 words)
Research program statement (suggested maximum: 1,500 words)
A copy of a recent publication with a cover letter explaining your contribution
An unofficial copy of your academic transcript from the university that has granted or will grant your Ph.D.

The finalists for the position will be contacted and required to submit original graduate transcripts, and three current, confidential, letters of recommendation.
For questions regarding the search, call: (657) 278-3700 or e-mail the Search Chair at tryu@fullerton.edu

Application Deadline
All applications received by December 15, 2014 will receive full consideration. The review of applications will continue until the positions are filled.

Multiple positions may be hired from this recruitment based on the strength of the applicant pool.

The person holding this position is considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.

California State University Fullerton celebrates all forms of diversity and is deeply committed to fostering an inclusive environment within which students, staff, administrators and faculty thrive. Individuals interested in advancing the University's strategic diversity goals are strongly encouraged to apply. EEO employer. Reasonable accommodations will be provided for qualified applicants with disabilities who self-disclose.


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