PamiTC Job Board - Posting Details

Title: Two Postdoc Fellows: Deep Learning Medical ImagingPosted: August 22, 2016
Company/Institution: National Institutes of Health
Location: Bethesda, Maryland, USA
Department: Radiology and Imaging Science

Description: The Department of Radiology and Imaging Sciences at National Institutes of Health (NIH) Clinical Center seeks applicants for two postdoctoral positions in large-scale deep learning for medical image analytics and computer-aided diagnosis & beyond. Topics: 1) deep learning in object detection; 2) bottom-up object segmentation & parsing; 3) large scale radiology image-text deep learning. We have several impactful work/publications in each of the three above areas, at MICCAI/CVPR/TMI/MedIA/JMLR ... Our current postdocs are highly sought after by academic and industrial positions. They have won multiple NIH FARE research excellence awards, KRIBB young researcher fellowship and NESRC fellowship, etc.

Application Instructions: Join us to make a change! Please email to {le.lu; rms} @nih.gov with your CV. We offer competitive salary for the fellowship plus the full health benefits to cover the direct family. Positions are located in beautiful, culture-rich Bethesda, Maryland, near Washington DC. Qualifications: 1, Candidates must have (received within 5 years) or soon expect to receive Ph.D. degree or equivalent in Computer Science, Biomedical Imaging or a related field. 2, Preferably you should have at least one first author paper in first tier conferences (CVPR/ICCV/MICCAI) or journals (PAMI/TMI/MedIA/IJCV), or you believe we should have a strong and logical reason to believe in you. 3, Good programming experience using C/C++ and scripting languages 4, Strongly motivated to do high quality research work which translate into significant scientific publications and software development. The appointments are for three years and NIH is an equal opportunity employer. These two positions are with possibilities to collaborate with a Global Fortune 50 company (pending approval). Be the change you wish to see in this world!