University of Cincinnati: Assistant Professor – Educator, Information Systems [Cincinnati, OH]
Seeking applications for a non-tenure track position at the level of an Assistant Professor - Educator capable of teaching subjects such as Big Data, Business Intelligence, Machine Learning, Extract, transform, and load (ETL), Data Mining, and Data Warehousing.
At: University of Cincinnati
Location: Cincinnati, OH
Position: Assistant Professor - Educator, Information Systems
The Carl H. Lindner College of Business, Department of Operations, Business Analytics, and Information Systems (OBAIS), invites applications for a non-tenure track position at the level of an Assistant Professor - Educator capable of teaching subjects such as Big Data, Business Intelligence, Machine Learning, Extract, transform, and load (ETL), Data Mining, and Data Warehousing. This includes both undergraduate and graduate courses.
As part of a thriving top-25 research university in a city with eight Fortune 500 companies, the Lindner College of Business delivers academic excellence with an emphasis on experiential learning in a multi-disciplinary environment, adding real-world value to students and the communities they serve. The college enrolls approximately 4,000 undergraduate students and 1,000 graduate students and provides them with unique opportunities to build professional experience, cultural competency and leadership skills through co-operative education, internships, field-study research and cross-disciplinary studios. In living and breathing this promise every day, we provide an education students can’t get anywhere else.
Learn more about us at https://business.uc.edu/
- Master's degree in Information Systems, Data Analytics, Computer Science, Data Science or related field.
- Proficient knowledge of big data and analytics tools. Examples include Hadoop, Spark, MapReduce, PowerBI, R, Cognos.
- Proficient knowledge of relevant programming languages. Examples include SQL, HiveQL, JAVA, Python, Linux.
Doctorate in Information Systems or Data Analytics from an accredited institution. Teaching experience at the college level or significant industry experience with big data tools such as Spark, Hadoop, MapReduce, Cloudera, Cassandra, MongoDB, etc.
Include course preparation and curriculum development, delivering course content and leading hand-on exercise labs, holding office hours, grading and preparing assessment materials. Additional responsibilities will entail participating in curriculum/course development, developing distance learning courses, education-related service activities, such as advising student organizations, academic standards review, and community outreach activities.
Initial appointment is up to three years and can be renewed. Anticipated course load is 12 credit hours per semester.
Create applicant profile in Success Factors. Apply to 36007 (https://bit.ly/2BA4eIo). Attach the following documents to your APPLICATION.
- Cover Letter
- List of references (3) – names and contact information. Should we move forward with your application we will contact references
- Two page narrative describing your teaching and education philosophy
This search will remain open until the position is filled. Desired start date is August 2019. This position is not authorized for H1B, Green Card, or Visa sponsorship.
FOR ALL FACULTY HIRES
OFFICIAL ACADEMIC TRANSCRIPTS WILL BE REQUIRED AT THE TIME OF HIRE
The University of Cincinnati, as a multi-national and culturally diverse university, is committed to providing an inclusive, equitable and diverse place of learning and employment. As part of a complete job application you will be asked to include a Contribution to Diversity and Inclusion statement.
As a UC employee, and an employee of an Ohio public institution, if hired you will not contribute to the federal Social Security system, other than contributions to Medicare. Instead, UC employees have the option to contribute to a state retirement plan (OPERS, STRS) or an alternative retirement plan (ARP).
The University of Cincinnati is an Affirmative Action / Equal Opportunity Employer / M / F / Veteran / Disabled.
Nearest Major Market: Cincinnati
Job Segment: Information Systems, Curriculum, Computer Science, Academic, Education, Technology
Please contact Roger Chiang (firstname.lastname@example.org) if you have any question about this position.