Richard Brutchey
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Postdoctoral Researcher in Inorganic Nanocrystal Synthesis and Machine Learning at the University of Southern California University of Southern California in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
University of Southern California

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About this position
Richard Brutchey at the University of Southern California is seeking a postdoctoral researcher for the Brutchey Group. The project sits at the intersection of inorganic nanocrystal synthesis and machine learning, with a focus on applying ML methods to problems in inorganic synthesis.
This opportunity is aimed at recent or soon-to-be Ph.D. graduates with a background in chemistry, materials science, or a closely related field. Strong experimental experience in inorganic synthesis is required, and applicants should also have hands-on experience with Python and machine learning. The post emphasizes that demonstrated experience in both synthesis and ML is essential, along with a strong research and publication record.
The appointment is for a minimum of two years, with a flexible start date between January and June 2027. Interested candidates should email the professor directly with a CV and a short summary of their relevant experience.
This is a research-intensive postdoctoral opening in chemistry and materials science, especially suitable for candidates interested in data-driven inorganic synthesis, nanocrystals, and computational approaches to experimental problems.
Funding details
Available
What's required
Applicants should be recent or soon-to-be Ph.D. graduates with a Ph.D. in chemistry, materials science, or a closely related field. A strong experimental background in inorganic synthesis is required, along with experience using Python and machine learning. A strong research and publication record is expected, and demonstrated experience in both inorganic synthesis and machine learning is essential.
How to apply
Email the professor directly with a CV and a brief description of your experience in inorganic synthesis and machine learning. Qualified candidates are encouraged to share the post with others who may be interested.
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