Instructor/Assistant/Associate/Professor - STEM and Artificial Intelligence

About this role

QUALIFICATIONS REQUIRED QUALIFICATIONS: Successful candidates should demonstrate, at a level appropriate to the rank sought: -Technical disciplinary expertise together with intellectual breadth beyond the candidate's principal specialization. -Ability to teach technical general education rather than the introductory version of a specialist course, selecting content in service of transferable technical judgment. -Ability to preserve first-principles understanding while developing confident, progressively sophisticated use of AI and contemporary scientific and engineering tools.

-Ability to connect theory to real systems through laboratories, experiment, design-build-test, modeling, computation, data, simulation, or comparable hands-on work. -Knowledge of effective undergraduate teaching, course development, assessment, and academic standards, and ability to communicate complex technical concepts clearly. -Ability to connect technical knowledge to human, ethical, strategic, operational, and national-security questions and collaborate effectively while maintaining professional currency.

Associate Professors and Professors should additionally demonstrate progressively greater academic leadership. Qualifications Across All Ranks Candidates must demonstrate appropriate academic or professional preparation, excellence or strong promise in undergraduate teaching, technical breadth beyond a narrow specialization, and ability to contribute to integrated technical general education. ACADEMIC DISCIPLINES: Relevant fields may include artificial intelligence, computer or data science, machine learning, mathematics, statistics, physics, chemistry, biology, engineering, systems engineering, operations research, cyber science, robotics or autonomous systems, modeling and simulation, STEM or engineering education, or another closely related field supporting STEM and Artificial Intelligence.

DESIRED QUALIFICATIONS: -Excellent undergraduate teaching, especially in general education, interdisciplinary STEM, or integrated technical settings. -Experience with laboratory, experiment, design-build-test, systems integration, project-based learning, modeling, simulation, or test-and-evaluation education. -Experience with contemporary AI-enabled scientific or engineering workflows, including AI-assisted coding or analysis, design exploration, optimization, digital engineering, autonomy, machine learning, or simulation.