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Up to 30% off — ends 2 Aug
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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 availableCountry
United States
University
University of Southern California

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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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