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Fresher
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Early Applicant
  • Posted 17 hours ago
  • Be among the first 10 applicants

Job Description

Looking to advance your research career in AI for Healthcare Here is your gateway to a PhD at an Institute of National Importance!

I am inviting applications for a Project Associate-1 position on a prestigious ANRF-ECRG-funded medical imaging project. If you are passionate about Deep Learning, Generative AI, and making a real-world clinical impact, this is for you.

Why You Should Apply:

  • Direct PhD Pathway: The selected fellow will be strongly encouraged and permitted to register for the regular PhD program at IIIT Dharwad.
  • Interdisciplinary Exposure: You will receive close academic mentoring while working with an elite team that combines leading researchers in the area.
  • Attractive Fellowship Stipend:
  • 31,000/month + 20% HRA for GATE/NET qualified scholars.
  • 25,000/month + 20% HRA for candidates selected via the institute's national-level process.

Project & Research Focus

  • Project Title: Segmentation and Estimation of Choroidal Physiological Parameters from Retinal Optical Coherence Tomography Scans.
  • Core Domains: AI for Healthcare, Medical Image Analysis, Machine Learning, Deep Learning, Image Processing, Computer Vision, and Generative AI (VAEs, GANs, Diffusion Models).
  • Key Tasks: Developing advanced segmentation and enhancement models for Retinal OCT Scans and dataset curation.

Who is Eligible

Educational Background:

  • M.E. / M.Tech / M.S. (Research) degree in Computer Science & Engineering, Electronics Engineering, or a closely related discipline.
  • A minimum of 60% Marks or a 6.5 CGPA from an accredited institution.

Additional Criteria (Must meet at least ONE):

  • A valid GATE / NET qualification.
  • Selection in the national-level selection process conducted by IIIT Dharwad as part of this advertisement.

Plus Factor: Prior experience or skills in Image Processing, Computer Vision, Machine Learning, and Deep Learning will give you a significant advantage.

How to Join the Team:

  • Mode: The selection process will feature both online and offline tracks (in-person attendance is highly encouraged).
  • Application Deadline: June 29, 2026, by 5:00 PM.
  • Apply Here: Fill out the official application form at https://forms.gle/iuTWBVm1Hq8EacWp9.
  • Questions Direct your project-related queries to [Confidential Information].

Link for Detailed Advt: https://drive.google.com/file/d/1D4U0wUek1TQrs5IVAhOhary3oPRMu4fM/viewusp=drive_link

#PHDOpportunity #AIResearch #MedicalImaging #GenerativeAI #HealthcareAI #MachineLearning #IIITDharwad #ANRF #ComputerVision #DeepLearning #ResearchFellow #DataScience #DeepLearningJobs

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