• 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-drivendiscovery 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.

Alfred University actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee, student or applicant because of race, age, sex, color, sexual orientation, gender identification or expression, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, military or veteran status, domestic violence victim status, criminal conviction status, political affiliation or any other characteristic protected by applicable law. Protected veterans, minorities and women are encouraged to apply.