Postdoctoral Fellowship at Chennai Campus

AMRITA VISHWA VIDYAPEETHAM

Coimbatore District

On-site

INR 600,000 - 900,000

Full time

14 days+
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Job summary

Amrita Vishwa Vidyapeetham, Chennai Campus, invites applications for a Postdoctoral Research Fellow in Secure Computer Vision Intelligence and Quantum-Driven Explainable AI for Intelligent Underwater Perception Applications. The role focuses on advancing secure CV methods, quantum-enhanced AI, and explainable autonomous agents for marine environments.

You will develop novel algorithms, publish in SCIE journals, collaborate with interdisciplinary teams, mentor graduate researchers, and contribute

Qualifications

  • Ph.D. required in a relevant field (computer science, AI, ML, data science, quantum computing, cybersecurity, or related disciplines).
  • Strong publication record and research experience in CV, AI, or related areas.
  • Ability to work independently and in multidisciplinary teams.

Responsibilities

  • Design and develop secure computer vision and underwater perception algorithms.
  • Develop quantum-driven explainable AI and agentic AI models.
  • Research underwater vision, multimodal perception, object detection, tracking, and scene understanding; develop foundation models and trustworthy AI for edge deployment.
  • Publish in high-impact journals, contribute to funded projects, patents, and tech transfer.

Skills

Computer Vision
Image Processing
Underwater Vision
Explainable AI
Agentic AI
Quantum Computing
Quantum Machine Learning
Multimodal AI
Python
PyTorch
TensorFlow
OpenCV
AI frameworks
Research experience
Scientific writing
Publication record
Team collaboration
Independent work

Education

Ph.D. in Computer Science and Engineering/AI/Data Science/Quantum Computing

Tools

Python
PyTorch
TensorFlow
OpenCV
Modern AI frameworks

Job description

Home Jobs Postdoctoral Fellowship at Chennai Campus

Postdoctoral Fellowship at Chennai Campus

Amrita Vishwa Vidyapeetham, Chennai Campus is inviting applications from qualified candidates for the post of Postdoctoral Fellowship in Secure Computer Vision Intelligence and Quantum-Driven Explainable Agentic AI for Intelligent Underwater Perception Applications

Job Title Postdoctoral Fellowship in Secure Computer Vision Intelligence and Quantum-Driven Explainable Agentic AI for Intelligent Underwater Perception Applications

Location

Required Number

Required Number 1

Qualification

Qualification Ph.D. in Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Quantum Computing, Cybersecurity, Applied Sciences, Applied Mathematics, Applied Electronics.

Job description The Postdoctoral Research Fellow will conduct cutting-edge research in Secure Computer Vision Intelligence, Quantum-Driven Explainable Agentic AI, and Intelligent Underwater Perception Systems. - The candidate will develop novel computer vision algorithms, quantum-enhanced AI models, explainable autonomous AI agents, and secure perception frameworks for underwater and marine applications, while contributing to high-impact SCIE publications, sponsored research projects, patents, prototype development, and technology transfer through the Secure AI and Quantum Vision Intelligence.

Key Responsibilities
  • Design and develop secure computer vision and intelligent underwater perception algorithms.
  • Develop quantum-driven explainable AI, agentic AI, and quantum-enhanced machine learning frameworks.
  • Research underwater vision, multimodal perception, object detection, tracking, and scene understanding. Develop vision foundation models, trustworthy AI, and edge-intelligent perception systems.
  • Build secure AI solutions for marine, environmental, and cyber-physical applications.
  • Publish in high-impact SCIE journals, contribute to funded projects, patents, and technology transfer.
  • Collaborate with interdisciplinary teams and mentor graduate research scholars.
Desirable Skills
  • Research experience in Computer Vision, Image Processing, Underwater Vision, Explainable AI, Agentic AI, Quantum Computing, Quantum Machine Learning, and Multimodal AI.
  • Proficiency in Python, PyTorch/TensorFlow, OpenCV, and modern AI frameworks.
  • Strong research, scientific writing, and publication record.
  • Ability to work independently and collaboratively in multidisciplinary research teams.
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