Title: Postdoctoral Research Associate - Machine Learning & Advanced Manufacturing

Employee Classification: Postdoctoral Research Assoc

Campus: University of North Texas

Division: UNT-Provost

SubDivision-Department: UNT-College of Engineering

Department: UNT-Mechanical Engineering-130340

Job Location: Denton

Salary: Compensation is competitive and commensurate with the candidate’s qualifications, experience, and discipline, in accordance with university guidelines and available funding.

FTE: 1.00

Retirement Eligibility: ORP Eligible

About Us - Values Overview:

Department Summary

The Department of Mechanical Engineering at the University of North Texas (UNT) is a vibrant and expanding part of the College of Engineering, currently recognized as the second-largest department within the college. As a student-focused, public research university, UNT prides itself on fostering a dynamic academic community that emphasizes excellence in education, cutting-edge research, and innovation.


UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba.

Position Overview

The combination of machine learning and advanced manufacturing offers the potential to model and predict the performance of high-performance materials used in defense applications. Online monitoring of additive manufacturing requires a deep understanding of process conditions and microstructural evolution, which can be modeled through machine learning methods to comprehend the material's performance during experimental testing.

We seek a highly motivated postdoctoral researcher with expertise in artificial intelligence and machine learning modeling, particularly in applications relevant to online monitoring of additive manufacturing processes and experimental assessment via mechanical testing. A secondary focus is on process monitoring, applying state-of-the-art sensing technologies and self-developed algorithms.

Minimum Qualifications

• Ph.D. in Mechanical or Industrial Engineering, and other fields that explore Artificial Intelligence applications.
• Strong programming skills (e.g., Python )
• Strong machine learning skills applicable to manufacturing processes

Preferred Qualifications

• Ability to perform experiments and data analysis.
• Demonstrated strong experience in writing scientific publications and technical reports.
• Ability to mentor undergraduate and graduate students.

Required License/Registration/Certifications

Job Duties:

• Perform computer simulation, perform experiment design and testing. 
• Writing project reports, and grant proposals. 
• Supervise and collaborate with graduate students in the lab. 
• Publish Journal and Conference papers. 

Work Schedule:

varies based on assignment

Driving University Vehicle:

No

Security Sensitive:

This is a Security Sensitive Position.

Special Instructions:

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted. 

Benefits:

For information regarding our Benefits, click here.

EEO Statement:

The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, or veteran status in its application, employment practices and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities, facilities and employment practices. The University of North Texas System promptly investigates complaints of discrimination, harassment and related retaliation and takes remedial action when appropriate. The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.