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Computer Vision for Biomedical Electron MicroscopyPosted by: National Institutes of Health (NIH)
Posted date: 2020-Mar-02
The Laboratory of Cellular Imaging and Macromolecular Biophysics (LCIMB, lab chief: Richard Leapman, PhD), National Institute of Biomedical Imaging and Bioengineering (NIBIB), at the National Institutes of Health (NIH) in Bethesda, MD is seeking a postdoctoral fellow to join a new research program for biomedical computer vision research for electron microscopy.
Successful candidates will work alongside LCIMB staff scientists to research new computer vision techniques applicable to large-scale 3D structural modeling of cells and organelles, with a focus on areas including but not limited to: volumetric segmentation, robust multi-dataset segmentation, and self-supervised pretraining for computer vision neural networks. They will help supervise graduate students, postbacs, and interns working on the project, and guide team members who will integrate new research developments into software tools that microscopists can use for biological research applications.Qualifications:
The ideal candidate will have a PhD in computer science, applied math, or a similar area, with a focus on image processing, computer vision, and/or machine learning for imaging applications. Candidates should be comfortable working in a Linux environment, with basic Bash scripting experience. Candidates should also be familiar with Python and common scientific computing deep learning libraries. Experience with high performance computing is preferred. Exposure to biology is preferred but not necessary. Supervisory experience is also preferred - for current graduate students, supervision of undergraduate or summer students is ok. Candidates should be able to effectively communicate their research activities to a multi-disciplinary research team of biologists, microscopists, and data scientists.To Apply:
Applicants should submit their curriculum vitae, a cover letter describing research interests, and names and contact information for three references to Dr. Richard Leapman at leapmanrmail.nih.gov.
This post will be available until June 2, 2020.
The NIH is dedicated to building a diverse community in its training and employment programs.
We encourage applications from members of underrepresented or marginalized communities.