Assistant Professor or Associate Professor of Computer Information Systems #20180037FAC
Position Title: Assistant Professor or Associate Professor of Computer Information Systems
Job Posting Number: 20180037FAC
Job Location: San Marcos
McCoy College of Business Administration
Department of CIS & Quantitative Methods
Position Description: The Department of Computer Information Systems and Quantitative Methods (CIS&QM) at Texas State University (www.cis.txstate.edu) seeks applicants for a tenure-track Assistant Professor or Associate Professor position beginning fall 2018 to teach undergraduate and graduate Computer Information Systems courses with a concentration in business intelligence systems, software development, and agile project management. Additional job duties include conducting research that results in peer–reviewed publications in high quality academic journals, and serving at the department, college, university, and professional levels. Faculty are required to teach courses at the San Marcos campus and the Round Rock campus located north of Austin.
Candidates applying for the Assistant Professor rank must have received a Ph.D. in management information systems, information systems, computer science, or management science. ABD candidates are expected to successfully defend their dissertation by the date of hire.
Candidates applying for the Associate Professor rank must have received a Ph.D. in management information systems, information systems, computer science, or management science. In addition, candidates must be able to show they have both a sustained record of publications in high quality academic journals and a demonstrated record of teaching and service accomplishments. To be eligible for hire at the associate professor rank, candidate must meet the requirements for that rank as established by the University and the department. The successful applicant will receive the appropriate rank and title based on University and department established standards.
In addition to the required qualifications listed above, candidates with the following qualifications are preferred:
• Ph.D. from either AACSB accredited Colleges of Business or other well-known doctoral-granting institutions with a major in management information systems or information systems;
• Previous teaching, research, or professional experience in the areas of business intelligence systems, machine learning, software development, and agile project management;
• Evidence of effective teaching;
• Experience in one or more of the following applications: Spark, Scala, HANA, CLEA; and
• Proficiency in Python.
Only applications submitted through the Texas State University website will be accepted and considered, https://jobs.hr.txstate.edu/postings/20208. To assure full consideration, please submit the following: current curriculum vitae, statement of teaching philosophy, statement of research interests, evidence of teaching experience/evaluations, and the contact information for three professional references (including phone numbers and email addresses).
The selected candidate will be required to provide official transcripts from all degree granting Universities.
Proposed Start Date: Fall 2018
Close Date: 12/31/2017
Open Until Filled? No
Review Date: 12/31/2017
Texas State University, to the extent not in conflict with federal or state law, prohibits discrimination or harassment on the basis of race, color, national origin, age, sex, religion, disability, veterans’ status, sexual orientation, gender identity or expression.
Employment with Texas State University is contingent upon the outcome of record checks and verifications including criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
Texas State University is a tobacco-free campus. Smoking and the use of any tobacco product will not be allowed anywhere on Texas State property or in university owned or leased vehicles.
Texas State University is a member of the Texas State University System. Texas State University is an EOE.