College of Business and Economics Department of Computer Science and Information Systems
Assistant Professor of Data Science and Computer Science
The University of Wisconsin River Falls, a member of the University of Wisconsin System, is located in scenic west central Wisconsin, 30 miles from the multi-cultural, multi-ethnic cities of Minneapolis and St Paul. Year-round arts, cultural and recreational events are easily accessible from River Falls. UWRF's 6,100 undergraduate and graduate students pursue degrees in four colleges: Arts and Sciences, Education and Professional Studies; Agriculture, Food, and Environmental Science; and Business and Economics
The University provides an excellent environment for learning, emphasizing the importance of faculty-student interaction in classrooms, laboratories, academic advising, and co-curricular activities. A favorable student-faculty ratio affords opportunity for meaningful interchange between faculty and students. Strong interests in teaching, research and community service are highly valued. More information about UWRF can be found at: http://www.uwrf.edu/workhere/.
This is a full-time, nine month, tenure-track undergraduate/graduate faculty position (100%) at the rank of Assistant Professor in the Department of Computer Science and Information Systems. The successful candidate will have excellent communication skills and will demonstrate strong interests and ability to teach an array of undergraduate and graduate courses in Data Science and Computer Science. Opportunities exist for optional summer employment through teaching, research grants, internship supervision and other funding sources. Appointment date: August 2018.
Specific Duties and Responsibilities:
Teach introductory and advanced data science and computer science courses at the undergraduate and graduate level
Engage in program/curricula development and student learning outcomes assessment
Engage in research and scholarly activity and publish results in peer-reviewed journals
Advise graduate and undergraduate Computer Science and Data Science majors
Engage in high-impact educational practices such as faculty-student collaborative research and/or global education and/or developing and supporting external partnerships
Provide service to department, college, university, and the profession
PhD. in Data Science, Computer Science or a related area from an accredited institution. Applicants who have finished course work and are still working on their dissertation may be considered for a conditional appointment and must complete their Ph.D. by the start of 2018-2019 academic year.
Strong interest in and ability to teach an array of undergraduate and graduate classes in both Data Science and Computer Science.
Ability to teach in at least two of the four topics of Data Exploration and Analysis, Data Visualization, Data Storage and Retrieval, and Applied Machine Learning.
Strong interest in and ability to provide academic advising to undergraduate and graduate students
Interest in and ability to advise co-curricular activities such as student clubs/organizations, and internships
Strong interest in and ability to supervise undergraduate and graduate research.
Strong oral and written communication skills.
Demonstrated awareness of and sensitivity to diverse student populations and ability to contribute to the University's commitment to enhancing student awareness and appreciation of diverse cultures, backgrounds, and identities.
Experience or interest in writing and submitting grant requests
Teaching experience: Evidence of teaching effectiveness (most recent student evaluations and peer observations)
Knowledge, Skills and Abilities:
Education: Doctorate in Data Science, Computer Science or a related area from an accredited institution (ABD with confirmed completion date prior to start of employment will be considered).
Teaching: Ability to teach an array of undergraduate and graduate courses in both Data Science and Computer Science
Research: Demonstrate a commitment to scholarly activities that result in peer-reviewed publications
Diversity Statement: Demonstrate awareness and appreciation of diverse student populations and ability to contribute to the University’s commitment to enhancing student awareness and appreciation of diverse ethnic and cultural heritages.
Applications must include: 1) a letter of interest, detailing exactly how your qualifications and experience fit with the needs stated above, (2) a current vita (3) an unofficial graduate transcript (official copy will be required if hired), (4) the names, addresses and telephone numbers of at least three references who can specifically comment upon your teaching and research abilities and professional preparation (please note we are not asking for recommendation letters.) (5) Evidence of teaching effectiveness which should include a statement of teaching philosophy and may also include recent copies of student and/or peer evaluations.
Inquiries should be addressed to: Dr. Hossein Najafi, Professor and Search Committee Chair Department of Computer Science and Information Systems email@example.com
Deadline to Apply: Review of Applications will begin upon receipt. For full consideration, applicants should submit online all required materials by 11/20/2017. Any materials sent via postal mail or email will be shredded.
Through its strategic plan, Pathway to Distinction, UW-River Falls will vigorously pursue three goals: Distinctive Academic Excellence; Global Education and Engagement; Innovation and Partnerships. In support of our first goal, UW-River Falls strives to be a leader in collaborative and undergraduate research; we therefore seek faculty members who have an interest in or experience with faculty-student collaborative research, scholarship, and creative activity. The university is also interested in applicants who can support and extend our partnerships and initiatives in Asia (particularly China, Taiwan, Hong Kong, and India) and in Latin America. The university's strategic focus on international education encourages faculty to develop courses/pedagogy that facilitate the transition of international inbound students and out-bound UWRF students and enhance our curricular and programmatic partnerships in these regions.
UW-River Falls Diversity Statement: We declare that diversity and inclusivity are core values. We dedicate ourselves to build a culture grounded in principles of equity, social justice, and excellence. We fundamentally affirm and embrace the multiple identities, values, belief systems, and cultural practices of all individuals and communities. We will address fundamental issues of bias, discrimination, and exclusion.
The University is committed to creating an educational community which enhances student awareness and appreciation of diverse ethnicities and cultures and identities which actively supports tolerance, civility and respect for the rights and sensibilities of each person without regard to economic status, ethnic background, political views, sexual orientation, or other personal characteristics or beliefs. Awareness of and sensitivity to diverse ethnic and cultural heritages are especially sought in applicants.
UWRF is an equal opportunity, affirmative action employer subject to all state and federal regulations pertaining to non-discrimination based upon sex, gender identity or expression, sexual orientation, race, color, national origin, religion, disability, marital status, age, arrest and/or conviction record, veteran status, and membership in the national guard, state defense force, or any other reserve component of the military forces of the United States or the State of Wisconsin. All persons, especially women, persons of color, and people with disabilities are encouraged to apply. Employment is subject to federal laws that require verification of your identity and legal right to work in the United States as required by the Immigration Reform and Control Act.
For a copy of the UWRF campus safety information, see http:www.uwrf.edu/Police/CampusRecordsCrimes.cfm or call
Public Safety at (715) 425-3133 for a paper copy. This material includes crime statistics (Annual Security Report) and
information on crime prevention, sexual assault, and drug/alcohol issues.