Faculty of Engineering and Technology

Rama University; India; On-site; INR 700,000 - 1,500,000; Full time

Job summary

Rama University in Kanpur, Uttar Pradesh, invites applications for an Assistant Professor position in the Computer Science & Engineering department. The role requires delivering undergraduate and postgraduate instruction while pursuing research aligned with AI, ML, and data science trends.

The candidate should hold an M.Tech in CSE (Ph.D. preferred) and meet UGC/AICTE eligibility criteria, with a minimum of three years of teaching or research experience.

Qualifications

• M.Tech in Computer Science/Engineering is mandatory.
• Ph.D. (completed or pursuing) is highly preferred.
• Must meet UGC/AICTE eligibility criteria.
• Minimum 3 years of teaching or research experience in a reputed institution.

Responsibilities

• Design and deliver lectures, tutorials, and lab sessions for core CSE subjects.
• Utilize LMS for blended learning and modern pedagogical tools.
• Conduct independent research and publish in SCOPUS/SCI indexed journals.
• Apply for external research grants and supervise B.Tech/M.Tech projects.
• Contribute to syllabus updates to align with AI, ML, and Data Science.

Skills

Teaching

Curriculum development

Research

Education

M.Tech in Computer Science/Engineering

Ph.D. (completed or pursuing)

UGC/AICTE eligibility criteria

Tools

LMS

Job description

Job Title : Assistant Professor – Computer Science & Engineering

Location : Kanpur, Uttar Pradesh (Rama University Campus)

Employment Type : Full-Time

Experience Required : Minimum 3 Years

Job Summary

The Assistant Professor will be responsible for delivering high-quality academic instruction to undergraduate (B.Tech) and postgraduate (M.Tech) students. The role requires a candidate who can balance teaching excellence with active research, curriculum innovation, and institutional development in alignment with UGC and AICTE norms.

Key Responsibilities

Teaching & Academic Delivery

• Design and deliver lectures, tutorials, and lab sessions for core CSE subjects (e.g., Data Structures, DBMS, Operating Systems).
• Utilize modern pedagogical tools and Learning Management Systems (LMS) for blended learning.
• Conduct independent research and publish findings in SCOPUS/SCI indexed journals.
• Apply for external research grants and supervise student projects (B.Tech/M.Tech)
• Contribute to syllabus updates to ensure alignment with emerging technologies like AI, Machine Learning, and Data Science

Research & Innovation

• Conduct independent research and publish findings in SCOPUS/SCI indexed journals.
• Apply for external research grants and supervise student projects (B.Tech/M.Tech)
• Contribute to syllabus updates to ensure alignment with emerging technologies like AI, Machine Learning, and Data Science

Experience

• Minimum 3 years of teaching or research experience in a reputed higher education institution.

Educational Background

• M.Tech in Computer Science/Engineering is mandatory.
• Ph.D. (completed or pursuing) in a relevant field is highly preferred.
• Must meet UGC/AICTE eligibility criteria.