Part Time Lecturer ECE at University of Miami

Current Employees:If you are a current Staff Faculty or Temporary employee at the University of Miami please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet please review this tip sheet.The Department of Electrical and Computer Engineering at the University of Miami is seeking part-time faculty members to teach courses at the undergraduate and graduate level. We are particularly interested in individuals with expertise in Robotics and Applied Artificial Intelligence (AI) who can contribute to courses and laboratories in areas such as:Robotics and MechatronicsAutonomous Systems and ControlApplied Artificial Intelligence (e.g. Generative AI Trustworthy and Explainable AI AI-Enabled/Powered Systems AI in Healthcare Applications)Machine Learning and Data-Driven EngineeringEmbedded Systems and Intelligent HardwareA terminal degree in engineering or a closely related field is required with a minimum of two years of appropriate technical and/or teaching experience. A Ph.D. with demonstrated teaching experience is strongly preferred.Application ProcessFor full consideration applicants must upload a single PDF file (max 5MB) containing:Cover letterCurriculum VitaeTeaching statement (including philosophy experience and a list of courses you can teach relevant to AI and Robotics and other ECE related topics)Contact information for three referencesFor full consideration applications should be submitted by February 15 2026. Review will begin immediately and continue until all positions are filled. Appointments are expected to begin in Fall 2026 although earlier start dates may be considered.If you have any questions please feel free to contact the Chair of the Search Committee Dr. Nigel John or the Department Chair Dr. Pinhas Ben-Tzvi The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.Job Status:Part timeEmployee Type:Faculty-Intermittent (Seasonal) Key Skills Data Analytics,LAN,Accomodation,Control System,Corporate Risk Management,E Learning Employment Type : Part-Time Experience: years Vacancy: 1