[AISWorld] Tenure Track Information Systems Position

[McLeod, Alexander J]

Texas State University Tenure Track Information Systems Position

Position Title	Assistant Professor or Associate Professor of Information Systems
Job Posting Number	202356TTL
Job Location	San Marcos, Round Rock
Department	Dept of Information Systems & Analytics

Position Description	
The Department of Information Systems and Analytics (ISA) in the McCoy College of Business at Texas State University is seeking applicants for a tenure-track Assistant Professor or Associate Professor position beginning Fall 2023. The selected applicant will be expected to perform high-quality research that leads to peer reviewed scholarly publications, and to teach undergraduate and graduate Information Systems and Analytics courses with emphasis in database, data warehousing, cloud computing, machine learning, or software development courses. Additional job duties include service at the department, college, university, and professional levels. Faculty will be required to teach courses at both the San Marcos and Round Rock campuses. All positions are subject to the availability of funds.

Texas State's San Marcos campus is located in a growing community along the I-35 corridor between Austin and San Antonio. With its strategic location in the heart of the region's innovation ecosystem, where Blackland prairies roll into beautiful hills, Texas State University enjoys a unique setting among Texas universities. Texas State University is a Hispanic-Serving Institution and an Emerging Research University within the State of Texas.

The McCoy College of Business fosters an engaged learning community that prepares a diverse student population for successful business careers as responsible global citizens. The College complements these efforts with research that adds to knowledge, provides solutions to business challenges, and contributes to pedagogical advances. The College is AACSB-accredited, has grown more than 30 percent over the last 10 years, and serves over 4,200 undergraduate and nearly 500 graduate students. The ISA Department offers the Master of Science in Data Analytics and Information Systems and contributes to the Master of Business Administration.

Required Qualifications	
For the Assistant Professor rank, candidates must have an earned Ph.D. or be ABD from an accredited institution in Management Information Systems, Information Systems, Computer Science, Data Science, or Data Analytics. ABD candidates are expected to successfully defend their dissertation by the date of hire. In addition, candidates must have presentations at the conference in the information systems field or publication in the conference proceedings.

For the Associate Professor rank, candidates must have an earned Ph.D. from an accredited institution in Management Information Systems, Information Systems, Computer Science, Data Science, or Data Analytics. In addition, candidates must demonstrate both a sustained record of publications in high quality academic journals and a record of teaching and service accomplishments. To be eligible for hire at the associate rank, the 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 standards established by the University and department.

Preferred Qualifications	
In addition to the required qualifications listed above, candidates with the following qualifications are preferred:
1. Ph.D. from AACSB accredited business school.
2. Previous teaching experience in the areas of database, data warehousing, cloud computing, machine learning, or software development courses.
3. Experience teaching at the graduate level.
4. Evidence of effective teaching.
5. Experience with teaching online/hybrid courses.
6. Publications in peer-reviewed high quality journals.
7. Research experience in the areas of database, data warehousing, cloud computing, or machine learning.
8. Proficiency in Python, Java, and machine learning frameworks (such as TensorFlow, Apache Spark, and PyTorch).
9. Proficiency in SQL and big data frameworks (such as Hadoop and SAP HANA).
10. Professional or industry experience in the areas of database, data warehousing, cloud computing, or machine learning

Application Procedures	
Only applications submitted for this specific posting through the Texas State University website will be accepted and considered: https://jobs.hr.txstate.edu/postings/40982 . To ensure full consideration, please submit the following materials by February 20, 2023:
* Current curriculum vitae.
* Cover letter that addresses the required and preferred qualifications.
* Statement of teaching philosophy.
* Statement of research philosophy.
* Evidence of teaching experience/evaluations.
* The contact information of three professional references (including phone numbers and email addresses).

The selected candidate will be required to provide official transcripts from all degree-granting universities.

Questions may be directed to Search Committee Chair Dr. Peiqin Zhang, pzhang at txstate.edu.
Proposed Start Date	Fall 2023
Posting Date	
Evaluation of Applications Begins: 02/20/2023	
Full Consideration Date:	02/20/2023
Close Date	02/20/2023
Open Until Filled?	No

EEO/AA Statement	
Texas State University is an Equal Employment Opportunity/Affirmative Action Employer, committed to inclusive thought and action in support of our diverse community. Individuals from historically underrepresented groups and all those who share our commitment to inclusivity and passion for the strength of our diversity are strongly encouraged to apply.
Reasonable Accommodation	
If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Faculty and Academic Resources for assistance at FacHiringFR at txstate.edu. A representative from Faculty and Academic Resources will respond to you as soon as is possible.
Record Checks and Verifications	
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.
Eligibility for Employment	
Proper documentation of identity and eligibility for employment will be required before the hiring process can be completed.
Tobacco-Free Campus	
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.
Why Work at Texas State?	
Texas State University is home to more than 38,000 students and 2,000 faculty members in the growing Austin-San Antonio corridor. A member of the Doctoral Universities: Higher Research Activity Carnegie classification, the university creates new knowledge, fosters cultural and economic development, and prepares its growing population of diverse students for the endless possibilities that await them as citizens of Texas, the nation, and the world.
Bolstered by research with relevance and innovation in creative and scholarly work in a full range of academic disciplines and a spirit of inclusiveness, Texas State seeks outstanding candidates for a variety of faculty positions.
Quick Link	https://jobs.hr.txstate.edu/postings/40982