No. of Position(s)


Research area

  • Biomedical
  • Biotechnology
  • Optics (Imaging Analysis)


Decision after interview


Biomedical Photonics Lab
Ajou University, Suwon
South Korea


Professor Jong-hee Yoon


Ph.D. degree in the relevant field (graduates or expected to graduate in February 2021)


Knowledge and experience in the following research area

  • Biomedical optics
  • hyperspectral imaging
  • spatial-frequency domain imaging
  • endoscopy
  • deep learning
  • translational research
  • pathology

Responsibilities/Job Description

In this laboratory, we study optical technology that can be used for the diagnosis and treatment of diseases by measuring the light-tissue interaction. The shape and biochemical characteristics change in cellular and tissue levels in accordance with the progress of the disease, which ultimately the optical properties of the tissue ( scattering and absorption, etc. ) change agent. Therefore, if the optical properties of the tissue can be accurately measured, accurate diagnosis and efficient treatment of diseases is possible. The laboratory, in particular, that can be used in clinical hyperspectral imaging (Hyperspectral Imaging) and the spatial frequency domain images (Spatial-Frequency Domain Imaging) developed a new optical system such techniques, the analysis of the optical properties from the image measured by utilizing the artificial intelligence We study image processing techniques to diagnose the presence or absence of later diseases.

How to Apply?

Email submission ( Professor Jong-hee Yoon , )

Documents required

  • CV
  • self-introduction

About Biomedical Photonics Lab

Biomedical Photonics Lab is developing various optical technologies for early diagnosis of diseases through convergence research in various fields such as physics, life, and computing. We look forward to the interest of researchers in various fields capable of developing new optical equipment and researchers who can apply the developed equipment to biomedical applications. In addition, experts in the field of artificial intelligence for analysis of measured images and precise disease diagnoses are also welcome.

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