Assistant Professor - Robotics

Presidency University Bangalore; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Advanced laboratories

Research infrastructure

Seed funding support

Job summary

Presidency University in Bengaluru seeks an Assistant Professor for Robotics & Intelligent Systems to teach undergraduate and postgraduate courses, supervise projects, and lead research collaborations. The candidate will contribute to curriculum development, accreditation, and industry partnerships, advancing education at the intersection of AI, ML, and robotics.

The role emphasizes publishing in SCI/Scopus-indexed venues, securing grants, and mentoring doctoral scholars, with opportunities to

Qualifications

• Ph.D. in Robotics, AI, ML, CS, Mechatronics, Electrical/Electronics engineering or related discipline.
• Master's degree with excellent academic record from a recognized institution.
• Qualifications as per UGC/AICTE norms.

Responsibilities

• Deliver undergraduate and postgraduate courses in Robotics, Autonomous Systems, AI, ML, CV, and related areas.
• Develop innovative course materials, labs, and project-based learning modules.
• Mentor 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.

Skills

Robotics

ML & AI

Computer Vision

HRI

Embedded Systems

Edge AI

Motion Planning

Education

PhD in Robotics/AI/ML/CS

Master's degree

UGC/AICTE norms

Tools

ROS/ROS2

MATLAB/Simulink

TensorFlow

PyTorch

OpenCV

Job description

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.
• 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
• Human-Robot Interaction
• Embedded Systems and Edge AI
• Motion Planning and Navigation
• Drone and Mobile Robotics
• Digital Twins and Industry 4.0

Programming Skills

• Python
• C/C++
• MATLAB/Simulink
• 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.
• 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)
• 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.

Position Type: Full-Time Faculty