Assistant Professor For Computer Science & Engineering

Department Icon Data Science Analytics & Machine Learning
Posted: 3 months ago
0-1 years
Bhopal, Madhya Pradesh
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 3 months ago
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Job Description

Company Description

Sagar Group of Institutions (SISTec), established in 2007 under Shri Agrawal Educational & Welfare Society, is a leading private educational institution in Bhopal, India. SISTec offers top-tier education in Engineering, Pharmacy, and Management through its well-equipped campuses featuring state-of-the-art facilities. Known for its innovative, industry-oriented pedagogy, SISTec focuses on delivering technical education aligned with emerging technologies, both nationally and internationally. The institution is committed to shaping the future of technical education and developing skilled professionals through academic excellence and practical learning.

Role Description

This is a full-time, on-site role based in Bhopal for an Assistant Professor in Computer Science & Engineering. The role includes teaching undergraduate and postgraduate courses in Computer Science & Engineering, creating and implementing curriculum, guiding student projects, and conducting research in the fields of data science, cybersecurity, and programming. The ideal candidate will also engage in academic mentoring, develop innovative teaching methodologies, participate in academic committees, and contribute to the institutions research goals.

Qualifications
  • Strong understanding and knowledge in Computer Science and Programming concepts.
  • Expertise in specialized fields such as Data Science and Cybersecurity.
  • Experience in Curriculum Development with a focus on modern and industry-relevant topics.
  • Ph.D. or Masters degree in Computer Science, Engineering, or a related field is mandatory.
  • Prior teaching experience at the undergraduate or postgraduate level is preferred.
  • Strong communication, presentation, and mentoring skills.
  • Commitment to fostering an inclusive learning environment.
  • Proficiency in research or practical experience in advanced technical domains is advantageous.

Skills

Data Science

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