Postdoctoral Researcher

IIT Madras

Chennai District

On-site

INR 660,000 - 791,000

Full time

14 days+
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Job summary

IIT Madras invites applications for a research role in Computer Vision and AI, based at its Chennai campus. The candidate will conduct independent and collaborative research, develop novel algorithms, and publish results in premier journals and conferences.

The role requires a Ph.D. in a relevant field and a strong background in CV and deep learning. The position emphasises end-to-end research, prototype development, and collaboration with interdisciplinary teams.

Qualifications

  • Ph.D. in Computer Science, Artificial Intelligence, ML, Electronics & Communications, Electrical Engineering, Robotics, or closely related discipline.
  • Strong research background in Computer Vision and Deep Learning encouraged to apply.

Responsibilities

  • Conduct independent and collaborative research in Computer Vision and AI.
  • Develop novel algorithms and deep learning architectures for challenging vision problems.
  • Design, implement and evaluate state-of-the-art Computer Vision models.
  • Develop research prototypes and conduct rigorous experimental validation.
  • Prepare and publish research findings in high-quality journals and international conferences.
  • Contribute to research proposals, technical reports and project deliverables.
  • Mentor Ph.D. scholars, research students and project staff.
  • Collaborate with interdisciplinary research teams and contribute to funded research projects.
  • Stay updated with emerging developments in Computer Vision, Generative AI and Vision Foundation Models.

Skills

Python
PyTorch
TensorFlow
Deep learning
Computer Vision

Education

Ph.D. in CS/AI/ML/EE/Robotics

Tools

OpenCV
CUDA
GPU computing

Job description

Role & responsibilities
Research Areas / Technical Skills
  • Candidates should have expertise in one or more of the following:
  • Computer Vision & Image/Video Understanding
  • Object Detection, Classification, Segmentation and Recognition
  • CNNs, Vision Transformers (ViTs) and Vision Foundation Models
  • Vision-Language / Multimodal Models
  • Generative AI and Diffusion Models
  • 3D Computer Vision, Pose Estimation and Object Tracking
  • Self-Supervised and Representation Learning
  • Image/Video Generation and Enhancement
  • Strong programming skills in Python
  • Hands-on experience with PyTorch and/or TensorFlow
  • OpenCV and scientific computing libraries
  • GPU-based model training, optimization and experimentation
Key Responsibilities
  • Conduct independent and collaborative research in Computer Vision and AI.
  • Develop novel algorithms and deep learning architectures for challenging vision problems.
  • Design, implement and evaluate state-of-the-art Computer Vision models.
  • Develop research prototypes and conduct rigorous experimental validation.
  • Prepare and publish research findings in high-quality journals and international conferences.
  • Contribute to research proposals, technical reports and project deliverables.
  • Mentor Ph.D. scholars, research students and project staff.
  • Collaborate with interdisciplinary research teams and contribute to funded research projects.
  • Stay updated with emerging developments in Computer Vision, Generative AI and Vision Foundation Models.
Desirable
  • Experience in developing end-to-end AI/Computer Vision systems.
  • Experience with large-scale datasets, distributed/GPU computing and model deployment
  • Ability to independently formulate research problems and drive projects from concept to publication/prototype
Preferred candidate profile
Qualification and Experience
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electronics & Communication, Electrical Engineering, Robotics, or a closely related discipline.
  • Candidates with a strong research background in Computer Vision and Deep Learning are encouraged to apply.
Salary

65,000 per month (May scale based on experience & expertise )

The last date for submission of online application is 24.09.2026.
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