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Postdoctoral Research Associate - Neurosurgery, Cerebrovascular Imaging & Artificial Intelligence

University of Illinois Chicago
life insurance, paid time off, retirement plan
United States, Illinois, Chicago
Jan 16, 2026


Postdoctoral Research Associate - Neurosurgery, Cerebrovascular Imaging & Artificial Intelligence

Postdoctoral Research Associate - Neurosurgery, Cerebrovascular Imaging & Artificial Intelligence

Hiring Department: Neurosurgery

Location: Chicago, IL USA

Requisition ID: 1039203

Posting Close Date: 03/16/2026

Salary: The budgeted salary range for the position is $43,888 to $60,000.
Final salary offered will be determined by a thorough assessment of available market data, internal salary equity, candidate experience and qualifications, and budget constraints.

About the University of Illinois Chicago

UIC is among the nation's preeminent urban public research universities, a Carnegie RU/VH research institution, and the largest university in Chicago. UIC serves over 34,000 students, comprising one of the most diverse student bodies in the nation and is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander Serving Institution (AANAPSI) and a Hispanic Serving Institution (HSI). Through its 16 colleges, UIC produces nationally and internationally recognized multidisciplinary academic programs in concert with civic, corporate and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting-edge and transformational research along with a commitment to the success of all students, UIC embodies the dynamic, vibrant and engaged urban university. Recent "Best Colleges" rankings published by U.S. News & World Report, found UIC climbed up in its rankings among top public schools in the nation and among all national universities. UIC has over 300,000 alumni, and is one of the largest employers in the city of Chicago.

This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents.

Position Summary
The Department of Neurosurgery at the University of Illinois Chicago (UIC) invites applications for a Postdoctoral Research Associate with PhD-level training and expertise in medical imaging, image segmentation, and artificial intelligence, with a strong interest in cerebrovascular disease, stroke, brain arteriovenous malformations (AVMs), intracranial atherosclerotic disease, and flow-based imaging.

The Postdoctoral Research Associate will work within a multidisciplinary cerebrovascular research program focused on quantitative imaging, hemodynamics, and AI-based prediction of clinical outcomes, with direct relevance to patient selection, treatment planning, and longitudinal follow-up in neurovascular disease.

Duties & Responsibilities
  • Develop and validate AI/ML and deep learning models for cerebrovascular imaging analysis and segmentation
  • Design computational pipelines for quantitative flow and hemodynamic assessment from multimodal imaging data
  • Integrate imaging features with clinical, physiological, and outcome variables to build predictive models
  • Analyze large retrospective and prospective cerebrovascular datasets
  • Collaborate closely with neurosurgeons, neurologists, radiologists, and engineers in translational research projects
  • Contribute to NIH, NSF, DoD, and foundation grant applications
  • Lead and co-author high-impact peer-reviewed publications and national/international conference presentations
  • Participate in mentoring of graduate students, medical students, and research trainees
  • Perform other related duties and participate in special projects as assigned.
  • Research Focus Areas
    Stroke imaging and outcome prediction, including ischemic and hemorrhagic stroke
    Brain AVMs and dural arteriovenous fistulas, with emphasis on flow dynamics and hemorrhage risk stratification
    Intracranial stenosis and cerebrovascular hemodynamics
    Quantitative and flow-based imaging (e.g., angiography, perfusion imaging, QDSA, 4D Flow MRI, advanced MRI/CT techniques)
    AI-driven imaging biomarkers for treatment selection and prognosis


  • Minimum Qualifications

    • PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Imaging Science, Medical Physics, or a related discipline
    • Strong expertise in medical image analysis and segmentation
    • Demonstrated experience with artificial intelligence, machine learning, or deep learning applied to medical imaging
    • Proficiency in programming environments such as Python, PyTorch, TensorFlow, MATLAB, or similar
    • Experience managing and analyzing large imaging datasets
    • Strong scientific writing and communication skills, with a record of peer-reviewed publications


    Preferred Qualifications
    • Prior experience in neuroimaging, cerebrovascular imaging, or stroke research
    • Exposure to flow-based imaging or hemodynamic modeling
    • Experience developing clinical outcome prediction models
    • Familiarity with translational or clinically embedded research environments


    Applicants should submit:
    Curriculum vitae
    Cover letter describing research background and interests in cerebrovascular imaging
    Contact information for 2-3 references
    Applications will be reviewed on a rolling basis until the position is filled.

    Initial one-year appointment with renewal based on performance and funding

    The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify.

    The university provides accommodations to applicants and employees. Request an Accommodation

    Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.

    To apply, visit https://uic.csod.com/ux/ats/careersite/1/home/requisition/18861?c=uic

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