ASSISTANT/ASSOCIATE PROFESSOR

Description:

This is a Tenure Track position . Academic tenure is based upon performance and approval of the faculty and may be considered after the initial or subsequent 3-year appointment period. Selectee may be offered initial appointment with tenure if their academic credentials warrant the action.

Performs Assistant/Associate Professor of Data Science duties in the Department of Operational Sciences in the Graduate School of Engineering and Management at AFIT.

Requirements:

This is a Tenure track position:

Academic tenure is based upon performance and approval of the faculty and may be considered after the initial or subsequent 3-year period. Selectee may be offered an initial appointment with tenure if their academic credentials warrant such an action.

REQUIRED QUALIFICATIONS:

• An earned doctoral degree in statistics, applied statistics, computational statistics, data science, operations research, industrial engineering, or a related discipline is required before employment begins (projected for Fall 2026).
• Commensurate with their intended academic rank, the applicant's record of scholarship must show the ability or potential to (1) conduct and disseminate scholarly research, (2) effectively teach graduate level courses in the fields of data science and operations research, and (3) meet professional and institutional service obligations.
• Knowledge and expertise of current defense technologies, and where appropriate, defense programs at the national level including political processes, military budgeting priorities, and developing alliances between departments and agencies.
• Possess the ability to communicate clearly and expertly in both verbal and written forms concerning academic, administrative, and technical subject matters.

DESIRED QUALIFICATIONS:

• The applicant should be able to provide excellent instruction. Evaluation will be based on the quality, quantity, and relevance of recent instruction provided by the candidate with respect to relevant applied statistics, data science, or operations research courses. Experience in the specialty area of interest (i.e., applied and computational statistics such as multivariate regression, experimental design, response surface methodology, and natural language processing) is of increased value. For soon-to-graduated applicants, newly graduated applicants, or applicants without experience as a faculty member in academia, relevant coursework, industrial, and research experiences may serve as a (less-valued) proxy for actual teaching experiences.
• The applicant should be able to establish and maintain a high-quality research program. Evaluation will be based on the quality, quantity, and consistency of the candidate's recent past research record (e.g., within the last 5 years), the candidate's future research potential (e.g., plans for the next 5 years), theses and dissertations advised, industrial experience, awards, consultations, and grant monies received.
• The applicant should be able to actively support the academic environment at a level consistent with their intended academic rank. Evaluation will be based on the intensity and frequency of leadership and membership activities in professional, institutional, faculty, and student organizations.

At the Assistant Professor Rank: A relevant earned doctoral degree from an accredited academic institution or equivalent experience and professional recognition; demonstrated or presumptive potential for effective teaching, research, consultation, and other scholarly and professional activities.

At the Associate Professor Rank: A relevant earned doctoral degree from an accredited academic institution or an appropriate terminal professional or academic degree; evidence of sustained teaching effectiveness; research, scholarly, create, and professional activities including publication in appropriately recognized professional journals (normally refereed archival), books, or monographs; discipline-related community service; and normally, no less than 5 years of significant professional experience, normally including a minimum of 3 years of full-time university-level teaching at the rank of Assistant Professor. Academic rank alone does not suffice for promotion to Associate Professor.

Applicants will be assessed based on education, evidence of teaching effectiveness, quality of scholarship, and demonstrated service to educational institutions and the discipline commensurate with years in the discipline. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.

VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.