The Role
The position involves high-throughput ceramic synthesis and characterization guided by machine learning, focusing on data-driven discovery in ceramics.
Summary Generated by Built In
Alfred University seeks qualified applicants to work in the area of ultra high temperature ceramic synthesis, processing and characterization. The project spans 5 individual project areas, with postdoctoral research associates needed with the following skillset:
- New materials discovery aided by Al/ML
- fields, will engage in high-throughput synthesis and properties studies guided by machine learning. The position will center on data-driven discovery and characterization of high entropy ultra-high temperature ceramics. The successful candidate will be expected to work to extend our expertise in high-throughput experiments to generate high-quality and reliable data for machine learning modeling. Un/supervised machine learning and deep learning will be used to train the algorithms and predict the resulting structures and properties. Selected compositions will be selected for further materials fabrication and characterization. The PORA will work closely with faculty, other postdocs, laboratory technicians, graduate students and scientists from outside laboratories.
Skills Required
- Experience in high-throughput synthesis of materials
- Knowledge of machine learning techniques
- Ability to work collaboratively in a research environment
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The Company
What We Do
Alfred University is a private university in western New York offering affordable, high-quality education with an emphasis on hands-on learning and mentorship. It provides programs in engineering, business, psychology, and education, fostering innovation and practical application.
