Assistant Professor - Robotics

Job Description

Position Summary

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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.

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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.

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Key Responsibilities

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Teaching & Academic Excellence

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• Deliver undergraduate and postgraduate courses in Robotics, Autonomous Systems, Artificial Intelligence, Machine Learning, Computer Vision, Control Systems, and related areas.
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• Develop innovative course materials, laboratory exercises, and project-based learning modules.
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• Mentor and supervise student projects, internships, capstone projects, and research activities.
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• Integrate emerging technologies and industry trends into the curriculum.
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• Contribute to curriculum design, accreditation, and continuous improvement initiatives.
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Research & Innovation

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• Conduct high-impact research in Robotics and Intelligent Systems.
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• Publish research outcomes in reputed SCI/Scopus-indexed journals and international conferences.
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• Develop interdisciplinary research projects involving AI, ML, Robotics, IoT, and Industry 4.0 technologies.
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• Apply for sponsored research projects, grants, patents, and consultancy assignments.
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• Guide undergraduate, postgraduate, and doctoral research scholars.
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Industry Collaboration

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• Establish partnerships with industries, startups, and research organizations in Robotics, Automation, and AI.
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• Facilitate internships, live projects, and industry-sponsored laboratories.
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• Organize workshops, hackathons, seminars, and technical training programs.
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Administrative & Institutional Responsibilities

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• Participate actively in department, school, and university committees.
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• Support NBA, NAAC, and other accreditation activities.
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• Contribute to student development, placements, innovation clubs, and entrepreneurship initiatives.
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Required Qualifications

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Academic Credentials

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• Ph.D. in Robotics, Artificial Intelligence, Machine Learning, Computer Science, Mechatronics, Electrical Engineering, Electronics Engineering, or a related discipline.
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• Master's degree with excellent academic record from a recognized institution.
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• Qualifications as per UGC/AICTE norms.
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Technical Expertise

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Candidates should demonstrate expertise in one or more of the following domains:

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• Robotics and Autonomous Systems
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• Robot Operating System (ROS/ROS2)
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• Machine Learning and Deep Learning
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• Computer Vision
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• Reinforcement Learning
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• Human-Robot Interaction
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• Industrial Automation
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• Embedded Systems and Edge AI
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• Motion Planning and Navigation
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• Drone and Mobile Robotics
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• Digital Twins and Industry 4.0
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• Intelligent Control Systems
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Programming Skills

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• Python
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• C/C++
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• MATLAB/Simulink
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• ROS Framework
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• TensorFlow / PyTorch
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• OpenCV
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Preferred Qualifications

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• Teaching experience in reputed universities or institutions.
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• Strong publication record in high-quality journals and conferences.
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• Experience in securing research grants and consultancy projects.
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• Patent filings, technology transfer, or startup involvement.
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• Experience working with robotic platforms, autonomous vehicles, drones, manipulators, or collaborative robots.
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• International academic or industry exposure.
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Desired Competencies

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• Passion for teaching and student engagement.
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• Research orientation and innovation mindset.
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• Excellent communication and presentation skills.
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• Strong interdisciplinary collaboration abilities.
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• Leadership and mentoring capability.
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• Commitment to academic excellence and continuous learning.
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Compensation & Benefits

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• Salary commensurate with qualifications, experience, and Presidency University norms.
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• Seed funding support for research and innovation.
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• Opportunities for interdisciplinary collaboration.
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• Conference and publication support.
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• Access to advanced laboratories and research infrastructure.
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• Career progression opportunities in teaching, research, and academic leadership.
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Application Requirements

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Interested candidates should submit:

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• Updated Curriculum Vitae (CV)
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• Cover Letter
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• Research Statement
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• Teaching Philosophy Statement
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• List of Publications, Patents, and Projects
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• Copies of Academic Credentials
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• Names and Contact Details of Three Professional References
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About the Department

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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.

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Location: Bengaluru, Karnataka

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Position Type: Full-Time Faculty

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Designation: Assistant Professor – Robotics & Intelligent Systems (AIML Department)