Description

Tenure Track/ Full Time. Academic tenure is based upon past performance and approval of the faculty and may be considered after initial or subsequent 3-year appointment period. Selectee may be offered an initial appointment with tenure based on their academic credentials.

Department of Systems Engineering and Management

Air Force Institute of Technology’s Department of Systems Engineering and Management invites applications for multiple full time, tenure-track Assistant/ Associate /Full Professor positions. The successful candidate will be able to take a lead role in driving transformation across the United States Air Force through improved model-based systems engineering, human factors/human systems integration, or acquisition management.    The Department houses diverse programs in Cost Analysis, Engineering Management (civil engineering), Systems Engineering and Acquisition Management, with specializations in data analytics, unmanned air vehicles, human systems, and system dynamics.   Multiple positions are sought to support our graduate Certificates, Masters and Doctoral program.

School of Engineering and Management

The Air Force Institute of Technology, with its main campus located at Wright-Patterson AFB, Ohio, is the US Air Force’s leader for advanced, multi-disciplinary academic education.  AFIT provides defense-focused, graduate education and related research, and initial skills training and professional continuing education to sustain the technological supremacy of America's air, space, and cyber forces.   The Graduate School of Engineering and Management typically has only ~ 1000 total students enrolled. The enrollment is a mix of full-time and part-time Air and Space force military, Government civilians, defense contractors, international, and sister-Service students.  We are a unique school – small, nimble, collaborative, and focused on large, complex military problems.  We cooperate across Departments and engage in interdisciplinary research.  Faculty are Government employees, it can be much easier to engage with defense research sponsors, and create funded projects quickly to support the operational, acquisition, and logistics communities.   

To Apply  

See full requirements, conditions and qualifications at: https://www.usajobs.gov/job/856638800.   Continuous review monthly starting 1 March 2026. Submit application by 30 June 2026

Requirements

Required Qualifications

•  An earned Doctorate degree in System Engineering, or Industrial and Systems Engineering, or a related engineering discipline with systems engineering/ acquisition experience, is required before employment begins (projected Fall 2026).
• Demonstrated professional knowledge of foundational and advanced topics associated with Digital Engineering/Model-based Systems Engineering including familiarity with the Systems Modeling Language (SysML) and architecture frameworks.
• Demonstrated professional knowledge in one or more associated domains of practice relevant to Department of Defense and Air and Space Forces. AFIT specialization domains for SE currently include space systems, airborne systems (manned or unmanned/ autonomous), cyber/information systems, data analytics, or system analytical methods.
• 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 and mentor/advise students in Systems Engineering, and (3) meet professional and institutional service obligations.
• Possess the ability to communicate clearly and expertly (in English) in both verbal and written forms concerning academic, administrative, and technical subject matters

Desired Qualifications

• Demonstrated knowledge and expertise in the Department of Defense acquisition system (DAS) and related processes like Mission Engineering, Airworthiness, SE Technical Reviews, Test and Evaluation and/or System Integration. 
• Demonstrated knowledge and expertise of current defense technologies, and where appropriate, defense programs.
• Demonstrated knowledge in the use of Large Language Models (LLM) and Generative AI for systems engineering applications.