- Preparing Lab Manual and New Experiments for the whole Course.
- Attending Lectures with Faculty.
- Assist in labs, lab grading, course material preparations and record keeping.
- Prepare lecture material, bulletin board displays, exhibits, equipment, and demonstrations.
- Tutor and assist students individually, in office hours, or in small groups, in clinics, in order to help and to reinforce learning concepts presented by the Faculty.
- Supervise students in classrooms, halls, cafeterias, and gymnasiums, or on field trips.
- Enforce administration policies and rules governing students.
- Grade assignment and quizzes, and compute and record results.
- Instruct and monitor students in the use and care of equipment and materials.
- Observe students' performance, and record relevant data to assess progress.
- Plan, prepare, and develop various teaching aids such as bibliographies, charts, and graphs.
- Provide extra assistance to students with special needs, such as non-English-speaking students or those with physical and mental disabilities.
- Take class attendance, and maintain attendance records.
- Maintain computers in classrooms and laboratories, and assist students with hardware and software use.
- Monitor classroom viewing of live or recorded courses transmitted by communication satellites.
- Provide disabled students with assistive devices, supportive technology, and assistance accessing facilities such as restrooms.
- Requisition and stock teaching materials and supplies.
- Type, file, and duplicate materials.
- Use computers, audiovisual aids, and other equipment and materials to supplement presentations.
- Help students and instructors in the projects of the courses.
- Help preparing accreditation folders for the courses they have.
Applicants should have an (MSc/BSc) in : Electrical, Electronics, Communication, Computer, Mechatronics or Aerospace Engineering, or other closely related fields
The candidate should have strong emphasis on:
- Hands-on experience with ARM Cortex-M4, especially the Tiva C development kit.
- Proficiency in using FreeRTOS for real-time embedded system applications.
- Knowledge of IoT applications and integration techniques.
- Familiarity with AI concepts and their implementation in embedded systems.
Applicants are requested to mention their recent certificate (MSc/BSc), when sending their application.
Dr. Mohamed Farahat
nanoeng@zewailcity.edu.eg