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Assad Oberai

1 month ago

Postdoctoral Researcher in Scientific Machine Learning, Probabilistic Inverse Problems, and Generative Models at University of Southern California University of Southern California in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of Southern California

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Keywords

Computer Science
Mechanical Engineering
Mathematics
Generative Modeling
Inverse Problem
Physics
Machine learning

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About this position

University of Southern California is seeking a postdoctoral researcher to work with Professor Assad Oberai on research at the intersection of scientific machine learning, probabilistic inverse problems, and generative models such as flow-matching.

The position is aimed at candidates interested in applying modern machine learning methods to problems in science and engineering. This is a strong fit for researchers with backgrounds in computer science, mathematics, physics, or related engineering fields, especially those with experience in probabilistic modeling, inverse problems, and generative AI methods.

The post does not specify a deadline, salary, or funding package, but it clearly indicates an open postdoctoral opportunity at USC. Interested candidates are encouraged to contact the professor directly via email.

Research areas: scientific machine learning, inverse problems, uncertainty quantification, generative modeling, flow-matching, computational science, engineering applications.

Institution: University of Southern California, United States.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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