Postdoctoral Scholar-Skillset 2

New Materials Discovery

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.

Qualifications

• PhD in Materials Science, Engineering, Chemistry, Physics or a related field
• Experience with high-throughput synthesis and characterization techniques
• Strong background in machine learning and computational materials science
• Ability to work independently and collaboratively
• Excellent communication and interpersonal skills

Skills

• New materials discovery using Al/ML fields
• Data-driven discovery and characterization of high entropy ultra-high temperature ceramics
• High-throughput synthesis and properties studies guided by machine learning
• Un/supervised machine learning and deep learning
• Materials fabrication and characterization

Benefits

• Competitive salary commensurate with experience
• Flexible schedule
• Professional development opportunities
• Access to state-of-the-art facilities

Pay

Salary is competitive and commensurate with experience.

Schedule

The position is full-time.

Alfred University

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.