Position Summary
The Department of Artificial Intelligence & Machine Learning (AIML) at Presidency University invites applications for the position of Assistant Professor – Robotics & Intelligent Systems . The successful candidate will play a key role in teaching, research, curriculum development, industry collaboration, and student mentoring in the areas of robotics, autonomous systems, AI-driven automation, and intelligent machines.
The position offers an exciting opportunity to contribute to cutting-edge education and research at the intersection of Robotics, Artificial Intelligence, Machine Learning, Computer Vision, and Autonomous Systems.
Key Responsibilities
Teaching & Academic Excellence
Deliver undergraduate and postgraduate courses in Robotics, Autonomous Systems, Artificial Intelligence, Machine Learning, Computer Vision, Control Systems, and related areas.
Develop innovative course materials, laboratory exercises, and project-based learning modules.
Mentor and supervise student projects, internships, capstone projects, and research activities.
Integrate emerging technologies and industry trends into the curriculum.
Contribute to curriculum design, accreditation, and continuous improvement initiatives.
Research & Innovation
Conduct high-impact research in Robotics and Intelligent Systems.
Publish research outcomes in reputed SCI/Scopus-indexed journals and international conferences.
Develop interdisciplinary research projects involving AI, ML, Robotics, IoT, and Industry 4.0 technologies.
Apply for sponsored research projects, grants, patents, and consultancy assignments.
Guide undergraduate, postgraduate, and doctoral research scholars.
Industry Collaboration
Establish partnerships with industries, startups, and research organizations in Robotics, Automation, and AI.
Facilitate internships, live projects, and industry-sponsored laboratories.




Organize workshops, hackathons, seminars, and technical training programs.
Administrative & Institutional Responsibilities
Participate actively in department, school, and university committees.
Support NBA, NAAC, and other accreditation activities.
Contribute to student development, placements, innovation clubs, and entrepreneurship initiatives.
Required Qualifications
Academic Credentials
Ph.D. in Robotics, Artificial Intelligence, Machine Learning, Computer Science, Mechatronics, Electrical Engineering, Electronics Engineering, or a related discipline.
Master's degree with excellent academic record from a recognized institution.
Qualifications as per UGC/AICTE norms.
Technical Expertise
Candidates should demonstrate expertise in one or more of the following domains:
Robotics and Autonomous Systems
Robot Operating System (ROS/ROS2)
Machine Learning and Deep Learning
Computer Vision
Reinforcement Learning
Human-Robot Interaction
Industrial Automation
Embedded Systems and Edge AI
Motion Planning and Navigation
Drone and Mobile Robotics
Digital Twins and Industry 4.0
Intelligent Control Systems
Programming Skills
Python
C/C++
MATLAB/Simulink
ROS Framework
TensorFlow / PyTorch
OpenCV
Preferred Qualifications
Teaching experience in reputed universities or institutions.
Strong publication record in high-quality journals and conferences.
Experience in securing research grants and consultancy projects.
Patent filings, technology transfer,



or startup involvement.
Experience working with robotic platforms, autonomous vehicles, drones, manipulators, or collaborative robots.
International academic or industry exposure.
Desired Competencies
Passion for teaching and student engagement.
Research orientation and innovation mindset.
Excellent communication and presentation skills.
Robust interdisciplinary collaboration abilities.
Leadership and mentoring capability.
Commitment to academic excellence and continuous learning.
Compensation & Benefits
Salary commensurate with qualifications, experience, and Presidency University norms.
Seed funding support for research and innovation.
Opportunities for interdisciplinary collaboration.
Conference and publication support.
Access to advanced laboratories and research infrastructure.
Career progression opportunities in teaching, research, and academic leadership.
Application Requirements
Interested candidates should submit:
Updated Curriculum Vitae (CV)
Cover Letter
Research Statement
Teaching Philosophy Statement
List of Publications, Patents, and Projects
Copies of Academic Credentials
Names and Contact Details of Three Professional References
About the Department
The Department of Artificial Intelligence & Machine Learning (AIML), Presidency University , is committed to fostering excellence in AI, ML, Robotics, Data Science, and emerging digital technologies through industry-aligned education, research innovation, and interdisciplinary collaboration. The department aims to develop future-ready professionals capable of driving technological transformation across industries.
Location: Bengaluru, Karnataka
Position Type: Full-Time Faculty
Designation: Assistant Professor – Robotics & Intelligent Systems (AIML Department)

📌 Assistant Professor - Robotics (Bengaluru)
🏢 Presidency University Bangalore
📍 Bengaluru