Postdoctoral Researcher in Neuroimaging

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 60,000 - 75,000; Full time

Job summary

The University of Pennsylvania's Perelman School of Medicine seeks a Postdoctoral Researcher in Neuroimaging to join a multidisciplinary team investigating brain aging and Alzheimer’s disease using arterial spin labeling and other MRI methods.

You will contribute to NIH-funded projects, develop cerebral blood flow biomarkers, and apply machine learning techniques in Matlab, Python, or R. Collaboration and publication are key expectations in this role.

Qualifications

• PhD or equivalent in a relevant field.
• Experience in neuroimaging and ML/DL.
• Strong scientific writing and manuscript/grant contributions.
• Perfusion MRI or arterial spin labeling experience preferred.

Responsibilities

• Develop cerebral blood flow biomarkers using ASL MRI.
• Collaborate on NIH-funded projects and publications.
• Implement machine learning methods for imaging data.
• Contribute to grant proposals and data analyses.

Skills

Neuroimaging

Machine learning

Python

MATLAB

Scientific writing

Education

Doctoral degree in Biomedical Engineering, Neuroscience, Computer Science, Electrical Engineering, Physics, or related field

Tools

Python

MATLAB

R

Perfusion MRI

Job description

Postdoctoral Researcher in Neuroimaging

Location:

University of Pennsylvania, Perelman School of Medicine

Open Date:

Nov 25, 2025

Description:

Faculty Mentor: Sudipto Dolui, PhD and John Detre, MDDepartment: Radiology and NeurologyFunding Sources:GrantNumber of Positions: 1 Candidates requiring visa sponsorship are welcome to apply

The Detre Laboratory at the University of Pennsylvania, under the mentorship of Dr. John Detre and Dr. Sudipto Dolui, is seeking a highly motivated Postdoctoral Researcher to join a multidisciplinary team investigating brain aging and Alzheimer’s disease and related dementias through advanced neuroimaging methods. This position will support multiple NIH funded projects aimed at improving understanding of the underlying pathophysiology of aging and neurodegeneration and at developing advanced biomarkers of vascular brain health. Our lab conducts clinical and translational research utilizing structural, functional, and physiological magnetic resonance imaging methods, with a particular emphasis on cerebral blood flow imaging derived from arterial spin labeling to assess cerebrovascular integrity and neural activity. We analyze both locally acquired data and data aggregated from large national and international neuroimaging datasets.

The ideal candidate will have an interest in biomedical research, be enthusiastic and highly motivated to participate in team science, and possess strong computing skills, including proficiency in coding languages such as Matlab, Python, or R. Experience in machine learning or deep learning, or a willingness to learn and apply these methods, is strongly desired. This position offers the opportunity to participate in an innovative research environment, gain hands-on experience with a variety of image analysis techniques, learn about the neuroscience of aging and dementia, and make critical contributions to primary research publications and grant proposals.

The successful applicant will develop specialized expertise in cerebral blood flow imaging, arterial spin labeling, multimodal MRI, data harmonization, and quantitative neuroimaging approaches that support research in normal aging and Alzheimer’s disease and related dementias and contribute to the development of sensitive and specific neuroimaging biomarkers.

Salary: Competitive, commensurate with NIH postdoctoral guidelines.

Qualifications:

• Doctoral degree in Biomedical Engineering, Neuroscience, Computer Science, Electrical Engineering, Physics, or a related field
• Demonstrated experience in neuroimaging, machine learning, or deep learning
• Strong scientific writing skills and interest in leading manuscripts and contributing to grant applications
• Experience with perfusion MRI or arterial spin labeling is preferred

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.