Job Summary :
Symbiosis International University, Dubai Campus, is seeking a technically skilled Lab Instructor to support the BCA and B.Tech Computer Engineering programs. The ideal candidate will have a Master’s in Computer Science or a related field, with hands-on expertise in Arduino, Raspberry Pi, Linux operating systems, AI tools, Power BI, and NVIDIA GPU technologies.
Key Responsibilities :
- Plan, organize, and conduct lab sessions for BCA students.
- Develop and implement lab exercises and activities that complement the BCA curriculum.
- Provide guidance and support to students during lab sessions.
- Assess and evaluate students’ performance in practical exercises.
- Ensure all lab equipment is functioning properly and coordinate repairs or replacements as needed.
- Stay updated with the latest developments in computer science and technology to enhance lab activities.
Technical Skillsets :
Conduct lab sessions for subjects such as Python Programming, Data Structures, IoT, Embedded Systems, Operating Systems, and Web Development.Guide students in hands-on IoT projects using Arduino and Raspberry Pi.Demonstrate practical applications using the Linux OS for shell scripting, networking, and open-source tools.Assist students in data analysis and reporting using Power BI.Facilitate workshops on AI tools (e.g., IBM Watson, Google AutoML).Support students in implementing AI / ML projects using NVIDIA GPUs, including Jetson platforms.Introduce CUDA programming and help accelerate computation-intensive workloads with NVIDIA GPU support.Maintain and troubleshoot lab hardware, electronics kits, and networking setups.Support faculty in curriculum implementation and lab planning.Requirements
Required Qualifications :
Master’s Degree in Computer Science, Electronics, or a related field.Practical knowledge of Arduino, Raspberry Pi, and electronics prototyping.Strong command of Linux OS and shell scripting.Proficiency in Power BI, programming languages (Python, C / C++), and data structures.Familiarity with AI / ML platforms and hands-on tools.Working knowledge of NVIDIA GPU architecture, CUDA programming, and Jetson Nano platforms.Benefits
Competitive salary as per University PoliciesOpportunities for growth and advancementFriendly and supportive work environmentComprehensive training and development programs