Assistant Professor - Robotics

Presidency University Bangalore · India

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.
• Strong 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)