Professor/ Associate Professor/ Assistant Professor
Lovely Professional University
Computer Science & Engineering Department
Position: Professor / Associate Professor / Assistant Professor
Key Responsibilities
- Teaching & Academic Delivery
- Deliver lectures, tutorials, laboratory sessions, and project supervision for undergraduate and postgraduate programs.
- Prepare course outlines, lesson plans, and academic materials aligned with curriculum standards.
- Utilize modern pedagogical methods, digital tools, and LMS platforms to enhance teaching effectiveness.
- Student Mentorship
- Guide and mentor UG/PG student projects, dissertations, and research work.
- Provide academic counselling and career guidance to support internships and placements.
- Assess student performance through assignments, examinations, projects, and presentations.
- Research & Scholarly Activities
- Conduct quality research and publish in reputed journals and conferences.
- Participate in research collaborations and funded projects.
- Encourage student participation in research, innovation programs, and technical competitions.
- Industry & Academic Engagement
- Establish industry collaborations and academic partnerships.
- Support seminars, workshops, guest lectures, and technical events.
- Academic Administration
- Participate in departmental committees, accreditation processes, and admissions-related activities.
- Contribute to curriculum development, academic planning, and institutional initiatives.
Requirements & Tech Stack
- Skills & Competencies
- Strong conceptual knowledge in Computer Science & Engineering.
- Ability to deliver interactive and outcome-based teaching.
- Good research orientation and publication potential.
- Excellent communication, presentation, and mentoring skills.
- Ability to build professional relationships with students, faculty, and industry stakeholders.
- Preferred Profile
- Prior teaching or research experience in higher education institutions.
- Exposure to emerging domains such as Artificial Intelligence, Data Science, Machine Learning, Cybersecurity, or Cloud Computing.
- Experience guiding student research projects, hackathons, or innovation activities.
Qualifications
- PhD + B.Tech + M.Tech (Computer Science & Engineering) or BCA + MCA or BE + ME from a reputed University/Institution.
- Strong academic record throughout.
- PhD (Thesis Submitted) can also apply.