Post Doctoral Associate Full Time (Ophthalmology Department) Bascom Palmer Eye InstituteMiami, FL

University of Miami • Miami, FL

3d • Onsite

About The Position

The University of Miami, Bascom Palmer Eye Institute, has an exciting full time opportunity for a Post Doctoral Associate for the Department of Research in Miami, Florida. Moreover, the Post-Doctoral Associate promotes institutional recognition through literal contributions to the scientific community. This is a research position in the Department of Ophthalmology under the supervision of Dr. Siamak Yousefi. The Post-Doctoral Associate performs scientific research and studies, preferably in Computational Ophthalmology.

Requirements

• Doctorate degree PhD required
• Ph.D. in computer science, computer engineering, data science, or related areas
• At least two years of experience in AI (could be during PhD studies)
• At least two years of experience in biomedical data analysis preferably in vision and ophthalmology (could be during PhD studies)
• Skills in collecting, organizing, and analyzing EHR and imaging data.
• Ability to recognize, analyze, and solve a variety of problems.
• Ability to exercise sound judgment in making critical decisions.
• Skills and knowledge of working with big datasets
• Skills and knowledge of developing emerging AI models including deep CNNs, Transformers, LLMs, VLMs, and Foundation Models.
• Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
• Teamwork: Ability to work collaboratively with others and contribute to a team environment.
• Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
• Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.

Nice To Haves

• preferably in Computational Ophthalmology

Responsibilities

• Conducts research on specific areas of study as assigned.
• Prepares research reports and technical papers for publishing.
• Investigates the feasibility of applying a wide variety of scientific principles and theories.
• Maintains substantial knowledge of state-of-the-art principles and theories.
• Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions.
• Adheres to University and unit-level policies and procedures and safeguards University assets.
• Develop various machine learning and data mining models including deep convolutional neural networks (CNNs), Transformers, large language models (LLMs), and Vision Language Models (VLMs)
• Develop Retrieval Augmented Generation (RAG) models and agentic AI
• Developing manifold learning (e.g., tSNE and UMAP) and unsupervised clustering to identify disease phenotypes
• Analyze electronics health record (EHR) data and retinal imaging including fundus photographs, fundus autofluorescence, optical coherence tomography (OCT), visual field, full-field electroretinograms (ffERG), and genetic data for automated screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma and other optic neuropathies, age-related macular degeneration, diabetic retinopathy, inherited retinal diseases, and uveitis.
• Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries.
• Genetic and genomic data analysis

Benefits

• medical
• dental
• tuition remission

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree