Postdoctoral Research Associate I - Aerospace & Mechanical Engineering
University of Arizona
- Tucson, AZ
- $56,484 per year
- Permanent
- Full-time
Posting Number req19159
Department Aerospace & Mechanical Engr
Department Website Link https://ame.engineering.arizona.edu/
Location Main Campus
Address 1130 N Mountain Ave, Tucson, AZ 85721 USA
Position Highlights Aerospace and Mechanical Engineering (AME) at the University of Arizona is seeking a qualified candidate with expertise in applications of Artificial Intelligence and Machine learning for advanced materials development, ML-guided experiments, or autonomous/robotic experimentation. The candidate should have a strong background in both the computational and experimental aspects of materials science, as well as solid programming skills.Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please .
Duties & ResponsibilitiesDuties and Responsibilities:
- 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.
- 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.
FLSA Exempt
Full Time/Part Time Full Time
Number of Hours Worked per Week 40
Job FTE 1.0
Work Calendar Fiscal
Job Category Research
Benefits Eligible Yes - Full Benefits
Rate of Pay $56,484
Compensation Type salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Number of Vacancies 1
Target Hire Date 4/10/2024
Expected End Date
Contact Information for Candidates Majid Beidaghi
beidaghi@arizona.eduOpen Date 3/29/2024
Open Until Filled Yes
Documents Needed to Apply Resume and Cover Letter
Special Instructions to Applicant
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