Sign InCreate ProfileEnglish (US)Assistant Professor- Teaching- Basic EngineeringDetroit, MI, United States|req3412Posted on: 6/18/2026 Back to SearchAssistant Professor- Teaching- Basic Engineering Wayne State University is searching for an experienced Assistant Professor- Teaching- Basic Engineering at its Detroit campus location. Wayne State is a premier, public, urban research university located in the heart of
Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society. Essential functions (job duties): The Basic Engineering Program in the College of Engineering at Wayne State University invites
applications for a non-tenure-track Assistant Professor (Teaching) position, with an anticipated start date of August 2026. The position is primarily focused on undergraduate teaching, with opportunities for engagement in pedagogical innovation and scholarship. The successful candidate will report to the Director of the Basic Engineering Program.The successful candidate will:Serve as the primary instructor for
multiple sections of an entry-level course in applied probability, statistics, and introductory data science for undergraduate engineering students.Develop and deliver engaging, student-centered instructional sessions that reinforce lecture content and emphasize applied learning.Prepare and evaluate quizzes, examinations, homework assignments, and projects.Maintain regular office hours and provide academic support to
students.Supervise and provide guidance to teaching assistants and graders.Conduct course assessment and document student learning outcomes in accordance with accreditation requirements.Collaborate with college leadership and administrative units to support recruitment, retention, and student success initiatives.Maintain current knowledge of developments in statistics, data science, and engineering education.
Qualifications: PhD required in Engineering, Statistics, or Engineering Education with demonstrated experience in probability and statistics.Candidates with a master's degree will be considered at the rank of Instructor-Teaching.Evidence of effective teaching at the undergraduate and/or graduate level, or equivalent instructional experience.Proficiency in Python programmingExperience utilizing AI-enabled tools in
Summary from the source posting. Always confirm details on the institution's official career page.