Professor of Computer Science

Hiring: Assistant Professor - Computer Science & Technology

Location:

iLEAD College, an award-winning institution recognized for its commitment to innovative education and industry-focused learning, is seeking a passionate and driven Assistant Professor to join our dynamic Computer Science & Technology department. If you're an enthusiastic educator with a strong foundation in cutting-edge technologies and a desire to shape the next generation of tech leaders, we encourage you to apply.

At iLEAD, we believe in a practical, experiential learning approach that prepares students for the demands of the modern industry. As an Assistant Professor, you'll play a crucial role in delivering engaging lectures, fostering hands-on learning, and guiding students in their academic and professional journeys.

Key Responsibilities:

• Deliver engaging and comprehensive lectures for undergraduate and postgraduate courses in Computer Science & Technology.
• Develop and update course materials, syllabi, and practical exercises, ensuring alignment with industry trends and academic standards.
• Provide mentorship and academic guidance to students, fostering their critical thinking and problem-solving skills.
• Contribute to curriculum development, incorporating the latest advancements in Cyber Security, Data Science, and IoT.
• Supervise student projects, internships, and research initiatives.
• Actively participate in departmental activities, committees, and institutional development.
• Engage in continuous professional development to stay abreast of technological advancements and pedagogical best practices.

What We are Looking For:

• Education:

  Master's degree (M.Tech/M.E. or MCA) in Computer Applications or Computer Engineering from a recognized university.

• Experience:

  2 to 5 years of dedicated teaching experience in a higher education institution.

• Expertise:

  Strong conceptual and practical knowledge in:

• Cyber Security:

  Network security, cryptography, ethical hacking, digital forensics.

• Data Science:

  Machine learning, data analytics, big data technologies, statistical modeling.

• Internet of Things (IoT):

  IoT architecture, sensor networks, embedded systems, IoT applications.

• Skills:

  Excellent communication, presentation, and interpersonal skills. A passion for teaching and a student-centric approach are essential.