Publisher
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Andrei Irimia

2 months ago

Postdoctoral Fellowship in AI for Neuroimaging, Brain Aging, and Computational Neuroscience University of Southern California in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral fellowship position supported by multiple active NIH grants. The lab offers outstanding computational resources, scientific independence, collaboration opportunities, and mentorship; no stipend amount or tuition details are provided.

Country flag

Country

United States

University

University of Southern California

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Keywords

Computer Science
Machine Learning
Psychology
Biomedical Engineering
Deep Learning
Biology
Neuroimaging
Artificial Intelligence
Cognitive Neuroscience
Neuropsychology
Neurodegenerative Disease
Cognitive Aging
Statistics
Spatial Transcriptomic

About this position

Andrei Irimia at the University of Southern California is recruiting postdoctoral fellows for research at the intersection of artificial intelligence, machine learning, neuroimaging, brain aging, neurodegenerative disease, imaging genetics, spatial transcriptomics, and computational neuroscience.

The lab develops next-generation AI methods for understanding the human brain by combining machine learning with large-scale neuroimaging, genetics, and transcriptomics. Current research directions include AI for neuroimaging, interpretable and explainable deep learning, multimodal biomarker discovery, polygenic risk, and precision neuroscience. The group works with major datasets such as UK Biobank, ADNI, NACC, HCP, and TRACK-TBI, plus unique multimodal MRI/genomics/transcriptomics resources.

This is a strong fit for candidates with backgrounds in computer science, neuroscience, biomedical engineering, statistics, applied mathematics, physics, or related quantitative fields. Ideal applicants should have a strong publication record, excellent Python/deep learning programming skills, and experience in machine learning, medical imaging, computational biology, or related areas.

The position is supported by multiple active NIH grants and offers substantial scientific independence, opportunities to initiate original projects, interdisciplinary collaboration across USC and beyond, and mentorship aimed at launching independent careers in academia or industry.

To apply, email a CV, a brief statement of research interests and career goals, and up to three representative publications or preprints to [email protected]. No deadline is stated in the post.

Funding details

Postdoctoral fellowship position supported by multiple active NIH grants. The lab offers outstanding computational resources, scientific independence, collaboration opportunities, and mentorship; no stipend amount or tuition details are provided.

What's required

Candidates should have a strong publication record, excellent programming skills in Python and deep learning frameworks, and experience with machine learning, medical imaging, computational biology, or related fields. Applicants from machine learning, computer science, biomedical engineering, neuroscience, statistics, applied mathematics, physics, or related quantitative disciplines are encouraged. The post emphasizes creativity, independence, and interest in high-impact research.

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Professors

professor

University Name
Country flag

United States

Research Interests

Neuropsychology

Cognitive Neuroscience

Traumatic Brain Injury

Neurodegenerative Disease

Cognitive Aging