Post-doctoral research position in retinal image analysis
Friday 13th March 2020
Closing date: June 1, 2020
The Unit on Clinical Investigation of Retinal Disease, Division of Intramural Research (DIR), National Eye Institute (NEI), National Institutes of Health (NIH) in Bethesda, Maryland, USA, is seeking a skilled and motivated researcher with expertise in image processing, algorithm development, and deep learning.
The section conducts prospective clinical studies in normal and abnormal functioning of the retina, particularly those of retina degenerations – including complex retinal diseases such as age-related macular degeneration (AMD), drug toxicities, and monogenic retina disease. Accumulated datasets of longitudinal, multimodal images collected prospectively will be used to answer both hypothesis-driven and hypothesis-generating research to understand the anatomic changes occurring in retinal disease. Acquired imaging modalities include optical coherence tomography (OCT) and angiography, fundus color photographs, fundus autofluorescence (FAF), and adaptive optics (AO). Researchers with experience in processing these types of data/images in prior work will be given priority.
The prospective candidate will develop automated software, using deep learning and other advanced machine learning technologies, to objectively detect and evaluate the biomarkers for onset and progression of the retinal diseases. Computational analyses involve combinatorial assessment of disparate data types (i.e., patient demographics, risk factors, genetic information, different imaging modalities, etc.) into comprehensive classification and regression models. Prior background in automatic image registration and segmentation algorithms will be desired.
• Hold a PhD degree or equivalent.
• Have a proven record of publications that provide evidence of their expertise.
• Have significant published work using computer programming in one or all the following languages: Python, MATLAB, C++, R, and/or Java.
• Have experience in image analysis (registration, segmentation, and/or tracking) in medical images, with priority given to those with the ophthalmological modalities listed above.
• Have a strong work ethic, and the ability to design projects within the research areas and available datasets.
• Possess excellent oral and written communication skills in English, and recordkeeping skills.
• Salary will be commensurate with education and experience. The position provides generous scientific resources and health benefits. U.S. citizens, U.S. permanent residents, and non-U.S. citizens are eligible to apply.
Interested candidates may contact Dr. Catherine Cukras via email with their CV email@example.com.
|Organization||National Institutes of Health|
|Title||POST-DOCTORAL RESEARCH POSITION IN RETINAL IMAGE ANALYSIS|