Job Listings

Postdoctoral Research Associate I - Aerospace & Mechanical Engineering

The University of Arizona
Job Location:
Tucson, 85724
Mechanical Engineering

Posting Number: req19159

Department: Aerospace & Mechanical Engr

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 click here.

Duties & Responsibilities

Duties 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.

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.

Minimum Qualifications

  • 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

Contact Information for Candidates

Majid Beidaghi

Open Until Filled: Yes

Documents Needed to Apply: Resume and Cover Letter

Diversity Statement

At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As a Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.

Notice of Availability of the Annual Security and Fire Safety Report

In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at

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