Fully Financed PhD Fellowship in Advanced Imaging Technologies

1 month ago


Århus, Århus Kommune, Denmark European Federation Of Organizations For Medical Physics - EFOMP Full time
PhD Fellowship in Generative Deep Learning for Dental Imaging

About the Project: This 3-year research project aims to develop innovative generative deep learning models in dental imaging.

The Challenge: Current AI studies in medical imaging face significant limitations, including limited training data quantity and quality. Our goal is to overcome these issues by generating high-quality, synthetic dental radiographs using state-of-the-art techniques.

Key Objectives:

  • Develop a dedicated deep learning model for generating realistic dental radiographs
  • Explore the potential of Generative Adversarial Networks (GANs) and Latent Diffusion Models (LDM) for this application
  • Contribute to the advancement of clinical AI research in dental imaging

Your Role: As a PhD fellow, you will be responsible for designing, implementing, and evaluating the proposed deep learning architecture. Your expertise in deep learning and image processing will be essential in achieving the project's objectives.

What We Offer:

  • A fully funded 3-year PhD position with a competitive salary (€43,000 - €52,000 per annum)
  • Opportunities for professional growth and development within a dynamic research environment
  • A chance to contribute to cutting-edge research in medical physics and AI

Requirements:

  • MSc or equivalent degree in Computer Science, Physics, or a related field
  • Strong background in deep learning, image processing, and programming (e.g., Python)
  • Excellent communication and teamwork skills

How to Apply: If you are a motivated and talented researcher looking to make a meaningful contribution to the field of medical physics and AI, please submit your application, including your CV, cover letter, and contact information for at least two academic referees.



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