Job Details

Assistant 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 programming

Experience utilizing AI-enabled tools in teaching, engineering education, or data analysis.

Familiarity with data analytics, data science, and machine learning concepts.

Demonstrated use of innovative, student-centered teaching methods.

Commitment to student success, service, and inclusive educational practices.

Applicants should submit the following materials:

• Cover letter
• Curriculum vitae
• Teaching statement (including teaching experience and philosophy)
• Proof of degree (official or unofficial transcripts acceptable at application stage)
• Sample course syllabi and teaching evaluations (if available)
• Contact information for up to three professional references familiar with the candidate’s teaching ability

Preferred qualifications:

• Experience in course development and curriculum design • Proficiency in MATLAB programming • Experience with CAD software and additive manufacturing (3D printing)