Two Postdoctoral Fellowship Positions in Ophthalmic Data Mining and Machine Learning

Applications are invited for two Postdoctoral Fellow positions in “ophthalmic data mining and machine learning” areas in the Department of Ophthalmology and Department of Genetics, Genomics, and Informatics of the University of Tennessee Health Science Center (UTHSC) in Memphis. Candidates will work on multi-center projects collaborating with Harvard, Johns Hopkins, and Mount Sinai Medical Schools. There is a possibility for short visit of the mentioned schools and receiving support letters from other principal investigators.
Highly-motivated postdoctoral fellows will develop classical supervised machine learning, unsupervised clustering and deep learning to mine retinal and corneal data including visual fields, fundus photographs, optical coherence tomography (OCT) images and genetic data for screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma, macular degeneration, and keratoconus. We have access to one of the largest multi-modal ophthalmic datasets in the US through our multi-center efforts as well as large single retinal ganglion cells (RGCs) dataset generated using 10x Genomics and Fluidigm technologies at UTHSC.
We expect candidates with a PhD degree in computer science, data science, software engineering, computer engineering, electrical engineering, bioinformatics, or related areas. We anticipate highly motivated candidates with a solid research track record and excellent writing skills with a strong verbal and communication skills in English and the ability to work independently.
The prospective candidates should be experienced in Python and R programming languages with knowledge of Google Tensorflow, scikit-learn, and Keras or other related deep learning libraries. One of the positions is more towards single cell RNA-Sequencing data analysis with required skills in manifold learning (tSNE and UMAP), unsupervised clustering, Seurat single cell data analysis package, and 10x Genomics data analysis pipeline (e.g., cell ranger).
For more information please see:

https://academic.uthsc.edu/faculty/facepage.php?netID=syousef1&personnel_id=351869

https://syousefy.wixsite.com/yousefilab

If you are a good match and interested, please send your CV to siamak.yousefi@uthsc.edu and indicate “Postdoc positions” in the subject of the email.

Regards,
Siamak

Siamak Yousefi, PhD

Assistant Professor

Department of Ophthalmology

Department of Genetics, Genomics, and Informatics

Director of the Data Mining and Machine Learning (DM2L) Laboratory

University of Tennessee Health Science Center

930 Madison Ave., Suite #726

Memphis, TN 38163

Phone: 9014487831

Lab webpage: https://syousefy.wixsite.com/yousefilab