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Teaching Assistants
AlRyada University For Science And Technology, Faculty Of Computers & AI, Invites Applications For Vacancies To Be Filled Effective September 2026 In The Following Academic Programs
Job Title
Qualifications
Demonstrator/Teaching Assistant: Software Engineering
- Graduation Grade: At least Very Good .=
- = cgpa:= at= least= 3.7= .= class=elementor-repeater-item-6ba8960 ekit_table_data_>
- Bachelor's/Master's degree from: Faculty of Computers, Faculty of Engineering or equivalent
- Graduation Grade: At least Very Good .
- CGPA: At least 3.7 .
Demonstrator/Teaching Assistant: Artificial Intelligence
- Graduation Grade: At least Very Good .=
- = cgpa:= at= least= 3.7= .= class=elementor-repeater-item-9d1b7c3 ekit_table_data_>
- Bachelor's/Master's degree from: Faculty of Computers, Faculty of Engineering or equivalent
- Graduation Grade: At least Very Good .
- CGPA: At least 3.7 .
Demonstrator/Teaching Assistant in: Computer Engineering
- Graduation Grade: At least Very Good .=
- = cgpa:= at= least= 3.7= .= class=elementor-repeater-item-cf1c559 ekit_table_data_>
- Bachelor's/Master's degree From: Faculty of Computers, Faculty of Engineering or equivalent
- Graduation Grade: At least Very Good .
- CGPA: At least 3.7 .
Demonstrator/Teaching Assistant: Medical Informatics
- Graduation Grade: At least Very Good .=
- = cgpa:= at= least= 3.7= .= class=elementor-repeater-item-1a622a1 ekit_table_data_>
- Bachelor's/Master's degree From: Faculty of Computers, Faculty of Engineering or equivalent
- Graduation Grade: At least Very Good .
- CGPA: At least 3.7 .
Demonstrator/Teaching Assistant: Cybersecurity
Graduation Grade: At least Very Good .=
- = cgpa:= at= least= 3.7= .= class=elementor-repeater-item-ea92edf ekit_table_data_>
- Bachelor's/Master's degree From:
- Faculty of Computers, Faculty of Engineering or equivalent
Graduation Grade: At least Very Good .
Demonstrator/Teaching Assistant: Basic Science (Mathematics)
Graduation Grade: At least Very Good .=
- = cgpa:= at= least= 3.7= .= class=elementor-repeater-item-3581497 ekit_table_data_>
- Bachelor's/Master's degree From:
- Faculty of Computers, Faculty of Engineering, Faculty of Science or equivalent
Graduation Grade: At least Very Good .
Job Responsibilities
Successful candidates are expected to be knowledgeable in their respective specializations, provide academic support to students, assist in conducting practical sessions, and contribute to the overall teaching and learning environment within the Faculty of Computers &AI
Technical Skills
- A strong understanding and command of the technical concepts and theories related to their respective specializations.
- Possess practical skills and expertise in conducting laboratory experiments and demonstrations.
- Strong technical writing skills to assist in the preparation of reports, research papers, and documentation.
- Excellent interpersonal communication and writing skills in English, which is the teaching language.
- Good management skills, including the ability to meet deadlines, communicate effectively, and motivate others.
- An interest in working collaboratively within RST University and with external partners towards the development of shared projects.
Application Instructions
- Interested applicants are invited to submit their curriculum vitae to include their employment history, a statement outlining their research and teaching interests, a list of publications and projects undertaken, and the names of at least three referees.
Apply here