02 Oct
|
Presidency University Bangalore
|
Bengaluru
02 Oct
Presidency University Bangalore
Bengaluru
Job DescriptionPosition Summary
NThe 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.
NThe 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.
NKey Responsibilities
nTeaching & 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 cutting-edge 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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nResearch & 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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nIndustry 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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nAdministrative & 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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nRequired Qualifications
NAcademic 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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nTechnical Expertise
NCandidates 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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nProgramming 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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nPreferred 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 withrobotic platforms, autonomous vehicles, drones, manipulators, or collaborative robots.
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- International academic or industry exposure.
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nDesired 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 communicationand 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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nCompensation & 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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nApplication Requirements
NInterested 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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nAbout the Department
NThe 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.
NLocation: Bengaluru, Karnataka
NPosition Type: Full-Time Faculty
NDesignation: Assistant Professor – Robotics & Intelligent Systems (AIML Department)
📌 Assistant Professor - Robotics (Bengaluru)
🏢 Presidency University Bangalore
📍 Bengaluru