Job Description
Post Doctoral Associate Full Time (Ophthalmology Department) Bascom Palmer Eye InstituteMiami, FL University of Miami - 4.0 Miami, FL Job Details Full-time 21 hours ago Benefits Health insurance Dental insurance Qualifications AI models Big data projects Generative models Machine intelligence Doctor of Philosophy Developing large-scale AI models Neural networks Productivity software Technical Proficiency Generative AI Data analysis software
Full Job Description Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet . 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. CORE JOB FUNCTIONS
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. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS
Education:
Doctorate degree PhD required Certification and Licensing:
Refer to department description for applicable certification requirements in the Department Addendum, Requirements/Specifics Knowledge, Skills and Abilities:
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. Department Addendum 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. Department Requirements / Specifics 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 This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS
Education:
Ph.D. in computer science, computer engineering, data science, or related areas Certification and Licensing:
Not Applicable Experience:
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) Knowledge, Skills and Attitudes:
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. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Job Status:
Full time Employee Type:
Staff
