UIC Ophthalmology & Visual Sciences
Research Assistant Professor (AI-O) – Ophthalmology & Visual Sciences
UIC Ophthalmology & Visual Sciences, Chicago, Illinois, United States, 60612
We are seeking a Research Assistant Professor with a specialization in computer vision and ophthalmic AI. This individual will engage in cutting-edge research, mentor graduate students and postdocs, secure external research funding, and lead departmental initiatives around AI and data infrastructure. The successful candidate will work closely with the faculty at the Ai-O Center, collaborate across disciplines, and foster industry partnerships to advance the application of computer vision in ophthalmology.
Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.
Responsibilities
Lead and conduct novel research in computer vision applied to ophthalmic imaging, disease prediction, and diagnostics.Mentor and supervise graduate students, postdocs, and junior researchers in AI-driven ophthalmology projects.Develop grant proposals and secure funding from federal agencies, foundations, and industry partners.Spearhead AI and data infrastructure initiatives for the department, including the establishment of data pipelines and cloud-based research platforms.Collaborate with clinicians, visual science researchers, and AI experts to create and implement practical AI tools in ophthalmology.Disseminate research findings through peer-reviewed publications, presentations at conferences, and departmental seminars.Engage with industry and global academic collaborators to translate research into clinical applications.
Minimum Requirements
D. in Computer Science, Biomedical Engineering, Data Science, or related quantitative fields.Proven research expertise in computer vision, deep learning, or AI applications in healthcare, ideally focused on ophthalmology.A strong publication record in high-impact journals or conferences.Proficiency in programming languages such as Python and machine learning frameworks like TensorFlow, PyTorch, or Keras.Demonstrated leadership in managing research projects, mentoring students, and collaborating with interdisciplinary teams.
Preferred Qualifications
Experience with medical imaging, especially in ophthalmic modalities (e.g., OCT, fundus photography).Experience with ophthalmic diseases, such as Glaucoma or Retinopathy.Knowledge of clinical workflows and familiarity with electronic health record (EHR) systems.A commitment to advancing diversity, equity, and inclusion in research and mentorship.
For full consideration, interested candidates should submit a cover letter, CV, and contact information of three references by October 11, 2024:
https://uic.csod.com/ux/ats/careersite/1/home/requisition/12016?c=uic
The University of Illinois conducts background checks on all job candidates upon acceptance of contingent offer employments. Background checks will be performed in compliance with the Fair Credit Report Act.
The University of Illinois at Chicago is an affirmative action, equal opportunity employer that has a strong institutional commitment to the principle of diversity and is particularly interested in receiving applications from a broad spectrum of people. We are committed to equal employment opportunities regardless of sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
The University of Illinois System requires candidates selected for hire to disclose any documented finding of sexual misconduct or sexual harassment and to authorize inquiries to current and former employers regarding findings of sexual misconduct or sexual harassment. For more information, visit https://www.hr.uillinois.edu/cms/One.aspx?portalId=4292&pageId=1411899
Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.
Responsibilities
Lead and conduct novel research in computer vision applied to ophthalmic imaging, disease prediction, and diagnostics.Mentor and supervise graduate students, postdocs, and junior researchers in AI-driven ophthalmology projects.Develop grant proposals and secure funding from federal agencies, foundations, and industry partners.Spearhead AI and data infrastructure initiatives for the department, including the establishment of data pipelines and cloud-based research platforms.Collaborate with clinicians, visual science researchers, and AI experts to create and implement practical AI tools in ophthalmology.Disseminate research findings through peer-reviewed publications, presentations at conferences, and departmental seminars.Engage with industry and global academic collaborators to translate research into clinical applications.
Minimum Requirements
D. in Computer Science, Biomedical Engineering, Data Science, or related quantitative fields.Proven research expertise in computer vision, deep learning, or AI applications in healthcare, ideally focused on ophthalmology.A strong publication record in high-impact journals or conferences.Proficiency in programming languages such as Python and machine learning frameworks like TensorFlow, PyTorch, or Keras.Demonstrated leadership in managing research projects, mentoring students, and collaborating with interdisciplinary teams.
Preferred Qualifications
Experience with medical imaging, especially in ophthalmic modalities (e.g., OCT, fundus photography).Experience with ophthalmic diseases, such as Glaucoma or Retinopathy.Knowledge of clinical workflows and familiarity with electronic health record (EHR) systems.A commitment to advancing diversity, equity, and inclusion in research and mentorship.
For full consideration, interested candidates should submit a cover letter, CV, and contact information of three references by October 11, 2024:
https://uic.csod.com/ux/ats/careersite/1/home/requisition/12016?c=uic
The University of Illinois conducts background checks on all job candidates upon acceptance of contingent offer employments. Background checks will be performed in compliance with the Fair Credit Report Act.
The University of Illinois at Chicago is an affirmative action, equal opportunity employer that has a strong institutional commitment to the principle of diversity and is particularly interested in receiving applications from a broad spectrum of people. We are committed to equal employment opportunities regardless of sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
The University of Illinois System requires candidates selected for hire to disclose any documented finding of sexual misconduct or sexual harassment and to authorize inquiries to current and former employers regarding findings of sexual misconduct or sexual harassment. For more information, visit https://www.hr.uillinois.edu/cms/One.aspx?portalId=4292&pageId=1411899