Postdoctoral Fellow - Digital Manufacturing and Artificial Intelligence

Job Title

Postdoctoral Fellow - Digital Manufacturing and Artificial Intelligence

Department

Engineering Technology Department

Worker Type

Temporary (Fixed Term)

Pay Type

Benefit Eligible

Yes

Job Description Summary

The Department of Engineering Technology at Miami University in Hamilton invites applications for a Postdoctoral Fellow position in the area of Digital Manufacturing and Artificial Intelligence (AI). This position is primarily supported by incoming funded research, grants, and well-positioned to promote Miami University Polytechnic’s strategic initiative to advance applied research, workforce development, and industry collaboration in smart manufacturing and Industry 4.0 technologies.

The successful candidate will collaborate with faculty and industry partners to conduct applied research in AI-driven digital manufacturing, industrial automation, and smart systems integration. Responsibilities include supporting curriculum development, laboratory demonstrations, and externally funded projects focused on intelligent factory systems.

Job Description

The Department of Engineering Technology at Miami University in Hamilton invites applications for a Postdoctoral fellow position in the area of Digital Manufacturing and Artificial Intelligence (AI). This position is primarily supported by incoming funded research  grants, and well-positioned to promote Miami University Polytechnic’s strategic initiative to advance applied research, workforce development, and industry collaboration in smart manufacturing and Industry 4.0 technologies.

The successful candidate will collaborate with faculty and industry partners to conduct applied research in AI-driven digital manufacturing, industrial automation, and smart systems integration. Responsibilities include supporting curriculum development, laboratory demonstrations, and externally funded projects focused on intelligent factory systems.

Key Responsibilities:

• Conduct applied research in AI-enabled manufacturing systems, including digital twins, AR/VR immersive technology integration, and real-time process optimization.

• Integrate and automate manufacturing equipment (e.g., CNC machines, industrial robots, PLCs, machine vision systems) within a smart factory environment.

• Develop data acquisition pipelines using sensors, IIoT devices, and edge computing platforms.

• Deploy machine learning models to enhance process control and system responsiveness.

• Collaborate with industry partners to identify research challenges, co-develop solutions, and assist in prototyping.

• Co-author academic publications, grant proposals, and technical reports.

• Mentor undergraduate researchers and contribute to experiential learning opportunities.

• Assist in maintaining and expanding lab infrastructure related to Digital Manufacturing and AI.

Minimum Qualifications:

• Ph.D. in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Electrical/Computer Engineering, or a closely related field by the start date.

• Demonstrated expertise in AI/ML applications in manufacturing, system integration, or industrial automation.

• Experience with integration of robotics, PLCs, CNCs, and sensor networks in a manufacturing context.

• Strong programming skills (e.g., Python, MATLAB, C++) and familiarity with AI/ML tools and platforms.

Consideration may be given to applicants with:

• Hands-on experience with digital twin simulation platforms, edge computing, and smart factory infrastructure.

• Background in data acquisition, signal processing, or real-time control systems.

• Familiarity with industry standards and protocols such as OPC UA, Modbus, or MTConnect.

• Experience working in interdisciplinary and collaborative research environments.

• Prior involvement in grant writing or sponsored research projects.

• Excellent written and oral communication skills.

Additional Position Information (if applicable)

Required Application Documents

Cover letter detailing your research experience and alignment with the position, curriculum vitae (CV), and up to two sample publications (optional but encouraged).

Special Instructions (if applicable)

Inquiries can be directed to search committee chair Dr. Reza Abrisham Baf abrishr@miamioh.edu, or hiring manager Dr Mohammad Mayyas, Tmayyasm@miamioh.edu. Review of applications will begin two weeks after posting and continue until filled.

Additional Information

A criminal background check is required. All campuses are smoke- and tobacco-free campuses.

This organization participates in E-Verify.

Remote Work
For positions that are approved for remote work: Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami University at any time for any reason, including the convenience of the University.

Reasonable Accommodations
Requests for reasonable accommodations for disabilities related to employment should be directed to ADAFacultyStaff@miamioh.edu or 513-529-3560. Questions and follow-ups regarding requests should also be directed here.

Miami University Values Statement
Miami University is a scholarly community whose members believe that a liberal education is grounded in qualities of character as well as of intellect. We respect the dignity of other persons, the rights and property of others, and the right of others to hold and express disparate beliefs. We believe in honesty, integrity, and the importance of moral conduct. We defend the freedom of inquiry that is the heart of learning and combine that freedom with the exercise of judgment and the acceptance of personal responsibility.

For more information on Miami University’s mission and core values, please visit the Mission and Core Values webpage.

Equal Opportunity/Affirmative Action Statement
Miami University, an Equal Opportunity/Affirmative Action employer, encourages applications from protected veterans and individuals with disabilities. Miami University prohibits harassment, discrimination and retaliation on the basis of age (40 years or older), color, disability, gender identity or expression, genetic information, military status, national origin (ancestry), pregnancy, race, religion, sex/gender, status as a parent or foster parent, sexual orientation, or protected veteran status in its application and admission processes, educational programs and activities, facilities, programs or employment practices. Requests for reasonable accommodations for disabilities related to employment should be directed to ADAFacultyStaff@miamioh.edu or 513-529-3560.

Clery Act
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Labor Law Posters for Applicants

Please visit our Labor Law Posters webpage to access all relevant and applicable labor law information.