Postdoctoral Research Associate I – Aerospace & Mechanical Engineering – The University of Arizona, United States

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• Conduct research at the forefront of applications of Artificial Intelligence and Machine learning for advanced materials development. Responsibilities will include designing and conducting ML-guided experiments for materials discovery and optimization, developing and implementing algorithms for autonomous and robotic experimentation, and analyzing complex datasets to uncover novel materials properties and synthesis routes.
• Research article and proposal writing.
• Training graduate and undergraduate students in electrochemical and materials characterization techniques.

Knowledge, Skills, and Abilities:

• Proven expertise in applying machine learning techniques to materials science problems.
• Skills with autonomous or robotic systems in experimental settings, demonstrating the ability to design, set up, and troubleshoot autonomous experiments.
• Strong computational skills, including experience with simulation and modeling tools relevant to materials science.
• Proficiency in programming languages commonly used in data science and machine learning, such as Python, R, MATLAB, or Julia.
• Knowledge of and experience with AI/ML frameworks and libraries.
• A strong track record of peer-reviewed publications in the area of AI/ML applications in materials science or a closely related field.
• Skills with conducting ML-guided experiments or in the development and application of algorithms for materials discovery and optimization.
• Strong analytical and problem-solving skills, with a creative approach to interdisciplinary research.
• Excellent written and verbal communication skills, with the ability to present complex technical information to both technical and non-technical audiences.
• Ability to work in collaborative, interdisciplinary research teams, and the ability to engage with researchers from different backgrounds.

• Ph.D. in Mechanical Engineering, Materials Science and Engineering, Chemical Engineering, Physics, or a related field, with a focus on the application of AI/ML in materials science or a closely related area. Degree must be conferred prior to hire.