Assistant Professor - Computer Science

CGC University; Mohali; On-site; INR 900,000 - 1,500,000; Full time

Job summary

CGC University invites applications for the position of Assistant Professor in the Department of Computer Science Engineering to teach undergraduate and postgraduate students, conduct research, mentor projects, and contribute to curriculum and academic administration.

Candidates with strong subject knowledge, research aptitude, and dedication to quality education aligned with industry and academic standards are encouraged to apply.

Qualifications

• Undergraduate and postgraduate teaching experience in Computer Science topics.
• Ability to develop and update curriculum and assessment tools.
• Proven research aptitude with publications and grant potential.

Responsibilities

• Deliver lectures, tutorials, laboratory sessions, and seminars in Computer Science subjects.
• Prepare lesson plans, course files, teaching materials, and assessment tools.
• Develop and update curriculum as per university and industry requirements.
• Conduct internal assessments, examinations, evaluations, and result analysis.
• Guide and mentor students for academic projects, internships, and research activities.
• Promote outcome-based education (OBE) and innovative teaching methodologies.
• Publish research in indexed journals and pursue funded projects.

Skills

Artificial Intelligence

Machine Learning

Data Science

Cyber Security

Cloud Computing

Internet of Things

Full Stack Development

Software Engineering

Database Management Systems

Computer Networks

Operating Systems

Java

Python

Blockchain Technology

DevOps

Education

B.E./B.Tech in Computer Science Engineering or relevant discipline

M.E./M.Tech in Computer Science Engineering or relevant specialization with First Class

Ph.D. in relevant field is preferred as per UGC/AICTE norms

Job description

The Assistant Professor in the Department of Computer Science Engineering will be responsible for teaching undergraduate and postgraduate students, conducting research, mentoring students, developing curriculum, and contributing to academic administration. The candidate should possess strong subject knowledge, research aptitude, and the ability to deliver high-quality education aligned with industry and academic standards.

Candidates with expertise in one or more of the following areas may be preferred:

Academic Responsibilities

• Deliver lectures, tutorials, laboratory sessions, and seminars in Computer Science subjects.
• Prepare lesson plans, course files, teaching materials, and assessment tools.
• Develop and update curriculum as per university and industry requirements.
• Conduct internal assessments, examinations, evaluations, and result analysis.
• Guide and mentor students for academic projects, internships, and research activities.
• Promote outcome-based education (OBE) and innovative teaching methodologies.

Research Publications

• Conduct quality research in relevant domains of Computer Science.
• Publish research papers in Scopus/SCI/UGC-CARE indexed journals.
• Apply for funded research projects, patents, and consultancy assignments.
• Participate in conferences, FDPs, workshops, seminars, and academic events.

Administrative Responsibilities

• Participate in departmental and institutional committees.
• Assist in accreditation, ranking, audit, and quality assurance activities.
• Support admission activities, student engagement initiatives, and placement coordination.
• Maintain academic records and documentation as required by the institution.

Specializations Preferred

• Artificial Intelligence Machine Learning
• Data Science Analytics
• Cyber Security
• Cloud Computing
• Internet of Things (IoT)
• Full Stack Development
• Software Engineering
• Database Management Systems
• Computer Networks
• Operating Systems
• Java / Python Programming
• Blockchain Technology
• DevOps

Educational Qualification

• B.E./B.Tech in Computer Science Engineering or relevant discipline.
• M.E./M.Tech in Computer Science Engineering or relevant specialization with First Class.
• Ph.D. in relevant field is preferred as per UGC/AICTE norms.

School of Engineering Technology

• Strong communication and presentation skills.
• Sound knowledge of programming languages and emerging technologies.
• Ability to handle theory and laboratory sessions effectively.
• Good research aptitude and publication orientation.
• Teamwork, mentoring, and academic administration skills.
• Familiarity with LMS, digital teaching tools, and outcome-based education.