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University of Pennsylvania
Philadelphia, Pennsylvania, United States
(on-site)
Posted
19 days ago
University of Pennsylvania
Philadelphia, Pennsylvania, United States
(on-site)
Job Type
Full-Time
Job Function
Medical
Postdoctoral Researcher in Neuroimaging
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Postdoctoral Researcher in Neuroimaging
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description

Postdoctoral Researcher in Neuroimaging
Location: University of Pennsylvania, Perelman School of Medicine
Open Date: Nov 25, 2025
Deadline:
Faculty Mentor: Sudipto Dolui, PhD and John Detre, MD
Department: Radiology and Neurology
Funding Sources: Grant
Number 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
Application Instructions
Applications should be sent through Interfolio and should include:
1. Curriculum vitae (with names and contact information for three references)
2. Brief statement of prior research experience and current interests
3. Contact information for three (3) references
Please contact Dr. Sudipto Dolui ([email protected]) with any questions about the position or the application process.
To apply, visit https://apply.interfolio.com/178347
Equal Employment Opportunity Statement
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.
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Job ID: 84453773
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