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Full-timeDate Posted: 5 Nov 2026

Associate Professor — School of Computer Science & Engineering

RV UniversityBengaluru, Karnataka

Organization Profile

RV University offers a dynamic and innovative work environment where you can make a meaningful impact on the lives of students while advancing your career. Be part of a globally recognised institution that values excellence, creativity and collaboration.

Job Title / Designation
Associate Professor
Vacancy Available in Departments
  • School of Computer Science & Engineering
Specialization

Computer Science | AI & ML | Data Science | Cloud Computing | Cyber Security | Robotics and Autonomous Systems | Internet of Things | Aerospace | Augmented Reality & Virtual Reality

Required Qualifications

Ph.D. is mandatory for all teaching positions. Masters in the relevant specialisation/subject with NET/SET mandatory for candidates currently pursuing Ph.D.

Candidate Profile

  • Visionary educators and dedicated operational professionals
  • Values excellence, creativity and collaboration
  • Dedicated to inclusive learning, interdisciplinary collaboration and meaningful societal impact

Responsibilities

  • Contribute effectively to teaching and learning within a structured academic framework
  • Contribute to students’ intellectual development while upholding academic standards
Salary Details
As per UGC/Council norms
Job Location
Bengaluru, Karnataka
Apply Mode
Apply online
Organization Website
https://rvu.edu.in

How to Apply

Candidates are encouraged to apply by filling in their specialisation/subject in the google form provided on the careers page.

Organization Address

RV Vidyanikethan Post, 8th Mile, Mysuru Road, Bengaluru - 560 059

Contact Number
+91 89511 79896

About this opening

Faculty position in CSE specializing in AI, ML, Data Science, Cloud, Cyber Security, and Robotics.

Disclaimer: Listings are published for informational purposes. Candidates are advised to verify all details directly from the institution before applying. TopFaculty is not responsible for changes, errors, or recruitment decisions made by the organization.