Assistant Professor or Associate Professor of Quantitative Methods

The International Society for Bayesian Analysis; Round Rock, San Marcos (TX, TX); On-site; USD 70,000 - 100,000; Full time

Job summary

The Department of Computer Information Systems at Texas State University seeks an Assistant or Associate Professor of Quantitative Methods. This role focuses on teaching courses in quantitative methods and data analytics, alongside conducting significant research. Ideal candidates will have a strong educational background, research portfolio, and teaching experience. Applications are accepted until October 15, 2018, through the university website.

Qualifications

• Ph.D. or ABD from an internationally accredited institution.
• Established research agenda in analytics or applied statistics.
• Experience in college-level teaching is preferred.

Responsibilities

• Teach undergraduate and graduate courses in quantitative methods and data analytics.
• Perform research that leads to peer-reviewed scholarly publications.
• Collaborate across departments and campuses.

Skills

Analytics

Applied Statistics

Statistical Modeling

Probabilistic Data Mining

Education

Ph.D. or ABD in Quantitative Discipline

Degree from AACSB Accredited Business School

Job description

Assistant Professor or Associate Professor of Quantitative Methods

Aug 17, 2018

The Department of Computer Information Systems and Quantitative Methods (CIS&QM) at Texas State University is seeking applicants for a tenure-track Assistant Professor or Associate Professor position beginning Fall 2019 to teach undergraduate and graduate quantitative methods and data analytics courses in addition to performing research that leads to peer reviewed scholarly publications. Faculty will be required to teach courses at the San Marcos campus and Round Rock campus.

Required Qualifications:
Candidates must have a Ph.D. or be ABD from an internationally accredited institution. Candidates with ABD should successfully defend their dissertation by the date of hire. Candidates from an Internationally Accredited Business School must receive their degree in decision sciences, management science, analytics, quantitative methods or a related quantitative discipline. Ph.D./ABDs from an Internationally Accredited Program in statistics or industrial engineering with a concentration in logistics, operations research, operations management, or decision science are also encouraged to apply. The candidate should have a research agenda in one or more of the following: analytics, applied statistics, or related quantitative fields.

Appointment at the associate professor rank requires previous academic experience, an established research portfolio, and demonstrated excellence in 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 department. The successful applicant will receive the appropriate rank and title based on the University and department established standards.

Preferred Qualifications:
In addition to the qualifications listed above, we prefer that the candidate has the following:
• Experience in one or more of the following application areas: analytics, bayesian methods, statistical modeling, and probabilistic data mining.
• Experience in college-level teaching.
• Published or the potential to publish in quality scholarly journals.
• Potential to obtain funded research.
• Received or will receive degree from an AACSB accredited business school.
• Experience with teaching online/hybrid courses.

Only applications submitted through the Texas State University website will be accepted and considered, https://jobs.hr.txstate.edu/postings/23158.
To ensure full consideration, please submit the materials listed below before October 15, 2018: current curriculum vitae, cover letter that addresses the required and preferred qualifications, statement of teaching philosophy, statement of research philosophy, and the contact information of three individuals who will provide references. Applications received after October 15, 2018 may be, at the election of the search committee, deemed late and not subject to review.
Note that as part of our application process, we are requesting contact information from 3 references. Please provide the names and email addresses for your references in the Reference Letter section of the employment application. If you are invited to campus, reference letters from your contacts and your official transcripts will be required before your visit.