Non-Tenure Track, Assistant Teaching Professor in Electrical Engineering at Florida International University in Miami, Florida

Job Description:

Florida International University is a top public university that drives real talent and innovation in Miami and globally. Very high research (R1) activity and high social mobility come together at FIU to uplift and accelerate learner success in a global city by focusing in the areas of environment, health, innovation, and justice. Today, FIU has two campuses and multiple centers. FIU serves a diverse student body of more than 56,000 and 290,000 Panther alumni. U.S. News and World Report places dozens of FIU programs among the best in the nation, including international business at No. 2. Washington Monthly Magazine ranks FIU among the top 20 public universities contributing to the public good.

Non-Tenure Track, Assistant Teaching Professor in Electrical Engineering

Position Overview:

FIU is seeking a highly motivated and skilled individual for a full-time non-tenure track Assistant Teaching faculty position in the Electrical and Computer Engineering Department. The successful candidate will teach undergraduate and graduate-level courses in Circuits, Electronics, Embedded Systems, C Programming, Linear Systems, Artificial Intelligence, and Autonomous Systems. This position offers an exciting opportunity to contribute to innovative curriculum development, engage with dynamic student populations, and collaborate on research initiatives.

Key Responsibilities:

• Teaching: Deliver high-quality instruction in Embedded Systems, C Programming, Linear Systems, and Artificial Intelligence across various undergraduate and graduate courses. This includes preparing course materials, delivering lectures, leading lab sessions, and assessing student performance.
• Curriculum Development: Collaborate with departmental faculty to develop, update, and enhance the curriculum, ensuring that course content remains current, relevant, and aligned with industry standards.
• Advising and Mentorship: Provide academic advising and mentorship to students, assisting them in achieving their educational and career goals.
• Collaboration: Engage in collaborative research and teaching efforts within the department and across the university. This may include participating in interdisciplinary projects and contributing to the departments research initiatives.
• Service: Participate in departmental, college, and university service activities, including serving on committees, attending faculty meetings, and contributing to outreach and community engagement efforts.

Qualifications:

• Educational Background: A Ph.D. in Electrical Engineering, Computer Engineering, or a closely related field is required. Candidates with a Masters degree and substantial industry experience will also be considered.
• Teaching Experience: Demonstrated experience in teaching Embedded Systems, C Programming, Linear Systems, and Artificial Intelligence at the college or university level is highly desirable.
• Industry Experience: Relevant industry experience in embedded systems, AI, or related fields is a plus.
• Research Engagement: A record of or potential for research in one or more of the following areas: embedded systems, artificial intelligence, signal processing, or control systems.
• Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey complex technical concepts to a diverse student population.

Qualified candidates are encouraged to apply to Job Opening ID 533678 at https://facultycareers.fiu.edu/ and attach a cover letter, curriculum vitae, and statement of teaching philosophy. Candidates will be requested to provide names and contact information for at least 3 references who will be contacted as determined by the search committee. Applications will be accepted until the position is filled.

FIU is a member of the State University System of Florida and an Equal Opportunity, Equal Access Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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