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Postdoctoral Researcher in AI-Driven Materials and Molecules Discovery
1 month ago
Postdoctoral Associate in AI-Driven Discovery for Materials and Molecules
Job Summary:The Mingjie Liu Research Group in the Department of Chemistry at the University of Florida invites applications for a Postdoctoral Associate in AI-Driven Discovery for Materials and Molecules. The successful candidate will work under the supervision of Prof. Mingjie Liu, focusing on the development and implementation of advanced machine learning and deep learning models to predict new materials and molecule properties.
Responsibilities:- Conduct high-throughput computational simulations using MLIP, DFT, TD-DFT, QM/MM, kinetic Monte Carlo, and MD to study material and molecular properties.
- Utilize generative models for the design and discovery of novel compounds.
- Collaborate with an interdisciplinary team to design experiments and analyze data.
- Publish scientific papers and present findings at international conferences.
The ideal candidate will have a PhD in Materials Science, Chemistry, Computational Biology, Computer Science, or a related field. A strong background in machine learning, deep learning, and generative models applied to scientific problems is required. Experience in computational chemistry, materials science, computational electrochemistry, or polymer science is also preferred.
What We Offer:The University of Florida offers a competitive salary and a full benefits package. The successful candidate will have the opportunity to work in a dynamic and interdisciplinary research environment with access to state-of-the-art facilities and resources.
How to Apply:To apply, please submit your CV, a cover letter detailing your relevant experience and career objectives, and the names and email addresses of two references. Applications will be reviewed immediately, and the position will remain open until filled.
