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Assistant Professor CSE

Job in 143001, Amritsar, Punjab, India
Listing for: GGI: Gulzar Group of Institutes
Full Time position
Listed on 2026-01-13
Job specializations:
  • Education / Teaching
    University Professor, Academic, Computer Science
Job Description & How to Apply Below
Company Description
Gulzar Group of Institutes (GGI) is an AICTE-approved educational institution based in Punjab, India, affiliated with Punjab Technical University. Since welcoming its first student cohort in 2009, GGI has been dedicated to delivering quality, future-ready education. Boasting a diverse community of approximately 5,000 students from 25 states across India and 14 different nationalities, GGI focuses on outcome-based value education. The Institute takes pride in its alumni who have gone on to establish successful careers in leading organizations both within India and globally.

Role Description
This is a full-time, on-site role for an Assistant Professor in Computer Science and Engineering (CSE) located at the Gulzar Group of Institutes campus in Punjab, India. The Assistant Professor will be responsible for designing and delivering engaging and effective lectures, guiding students in academic and research activities, and mentoring them in project development. The role also involves contributing to curriculum development, participating in institutional committees, conducting scholarly research, and remaining updated with recent advancements in the field of computer science and engineering.

Qualifications
Proficiency in core computer science domains, including Programming, Data Structures, Algorithms, and Database Management Systems
Expertise in teaching advanced topics such as Artificial Intelligence, Machine Learning, Cybersecurity, and Internet of Things (IoT)
Experience in research and development, technical paper writing, and participation in conferences
Effective communication, mentorship, and interpersonal skills for guiding and collaborating with students and peers
Familiarity with educational technologies and tools to enhance teaching methods and outcomes
Ph.D. in Computer Science, Computer Engineering, or a related field (preferred). Candidates holding a Master’s degree in these areas with exceptional qualifications may also be considered
Prior academic experience and a strong publication record in reputable conferences and journals are an advantage
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