Assistant Professor

• Academic and Pedagogical Skills

Teaching Expertise

• Experience in teaching undergraduate and postgraduate courses

• Ability to design syllabi and instructional materials

• Familiarity with Outcome-Based Education (OBE) and Bloom’s Taxonomy

2. Curriculum Development

• Participating in curriculum design and course revisions

• Integration of industry trends and emerging technologies

3. Student Evaluation & Mentoring

• Designing effective assessment tools

• Academic and research mentoring of students

Technical & Research Skills

1. Core Programming and Software Engineering

• Proficiency in languages like Python, Java, C++, or JavaScript

• Knowledge of software development life cycle, testing, and maintenance

2. Specialization Areas (depending on expertise)

• Artificial Intelligence / Machine Learning / Deep Learning

• Data Science / Big Data Analytics

• Cybersecurity

• Cloud Computing

• Internet of Things (IoT)

• Blockchain Technology

• Web and Mobile Application Development

• Computer Networks and Distributed Systems

• Operating Systems, Compiler Design, Algorithms

3. Research and Publication Skills

• Proven research track record with publications in indexed journals (SCI, Scopus)

• Experience in guiding MTech/Ph.D. students

• Knowledge of research methodologies, statistical tools, and paper writing

4. Project Handling and Grants

• Experience in handling funded research projects (UGC, DST, AICTE, etc.)

• Proposal writing and project management

Administrative and Management Skills

1. Academic Administration

• Experience as coordinator, department head, or committee member

• Accreditation and quality assurance processes (NAAC, NBA)

2. Event and Workshop Organization

• Conducting FDPs, workshops, conferences, and seminars

Soft Skills

1. Communication Skills

• Effective verbal and written communication

• Ability to convey complex technical concepts clearly

2. Leadership and Teamwork

• Ability to mentor junior faculty and lead academic teams

• Collaborative mindset for interdisciplinary work

3. Adaptability and Lifelong Learning

• Staying updated with new technologies and teaching methods

• Taking part in MOOCs, certifications (e.g., NPTEL, Coursera, etc.

Academic Responsibilities

1. Teaching & Instruction

• Deliver undergraduate and postgraduate courses in CSE/IT.

• Prepare lecture plans, assignments, and lab work aligned with curriculum objectives.

• Use modern teaching tools and techniques (LMS, virtual labs, etc.).

2. Student Evaluation

• Conduct assessments, grade exams, and provide timely feedback.

• Supervise student projects, internships, and dissertations.

• Mentor students on academic, career, and research development.

3. Curriculum Development

• Design and revise syllabi to incorporate latest industry trends and technologies.

• Participate in academic committees for curriculum planning and review.

Research & Development

1. Scholarly Research

• Conduct independent and collaborative research in areas like AI, Data Science, Cybersecurity, etc.

• Publish papers in reputed national and international journals/conferences.

2. Research Supervision

• Guide undergraduate, postgraduate, and Ph.D. students in research projects.

• Assist in securing and executing funded research grants.

3. Collaborations

• Develop collaborations with other institutions, industries, and research bodies.

Administrative Responsibilities

1. Departmental Duties

• Participate in departmental planning, budgeting, and decision-making.

• Support department head in managing academic and operational activities.

2. Quality Assurance

• Contribute to accreditation processes (NBA, NAAC, ABET, etc.).

• Ensure adherence to institutional policies, academic standards, and code of conduct.

3. Event Management

• Organize conferences, seminars, workshops, guest lectures, and FDPs.

Community & Institutional Engagement

1. Professional Development

• Attend and contribute to academic events, seminars, and training programs.

• Join professional societies (IEEE, ACM, ISTE, etc.) and maintain a strong academic network.

2. Industry Interaction

• Liaise with industry partners for internships, placements, and collaborative projects.

• Encourage entrepreneurship and innovation through incubation or tech clubs.

3. Student Support & Welfare

• Act as a faculty advisor or mentor.

• Provide support for academic and personal growth of students.

Minimum Educational Qualifications

1. Ph.D. in CSE/IT or Related Field (Mandatory)

• A Ph.D. degree in Computer Science and Engineering, Information Technology, or a closely related discipline (e.g., Artificial Intelligence, Data Science, etc.).

• The Ph.D. should be from a recognized university or institute.

Prior Education

2. Master’s Degree (M.Tech/M.E.)

• M.E. or M.Tech in CSE/IT or related field with first class (minimum 60%) or equivalent CGPA.

3. Bachelor’s Degree (B.E./B.Tech)

• B.E. or B.Tech in CSE/IT or allied discipline with first class or equivalent.