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Postdoctoral Research Associate|Machine Learning​/Artificial Intelligence Additive Manufacturing

Job in Denton, Denton County, Texas, 76205, USA
Listing for: University of North Texas System
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 55000 - 70000 USD Yearly USD 55000.00 70000.00 YEAR
Job Description & How to Apply Below

Title: Postdoctoral Research Associate|Machine Learning/Artificial Intelligence for Additive Manufacturing

Employee Classification: Postdoctoral Research Assoc

Campus: University of North Texas

Division: UNT-Research & Innovation

Sub Division-Department: UNT-Research & Innovation

Department: UNT-Ctr Agile & Adaptive Add. Mfg-190405

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

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and University of North Texas Health Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.

We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities.

We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.

Learn more about the UNT System and how we live our values System.edu.

Department Summary

CAAAM is the Center for Agile and Adaptive Additive Manufacturing. CAAAM looks at additive manufacturing, which includes materials, science, cybersecurity, data analytics, logistics, and supply chain.
Established in 2019 by the Texas State Legislature with $10 million in funding and recently renewed through 2025, CAAAM conducts next-generation research, education, and workforce training in additive manufacturing. CAAAM's Institute for Transformative Education in Additive Manufacturing-or ITEAMprovides courses, seminars, workshops, symposia, in-lab training sessions, and summer camps for industry and community colleges.
UNT is rapidly expanding its Center for Agile and Adaptive Manufacturing (CAAAM) (caaam.unt.edu), a State of Texas funded multi-million-dollar initiative with a multi disciplinary focus on further advancing the science and technology of additive manufacturing (AM). CAAAM involves a multi-disciplinary team of researchers from materials science, mechanical engineering, manufacturing, data science, cybersecurity and logistics & supply chain, committed to collaborating on large research projects with an emphasis on additive manufacturing.

One of the focus areas of CAAAM is Data Science/Analytics (Machine Learning, ML/Artificial Intelligence, Al) in the context of advanced manufacturing systems in general and additive manufacturing systems more specifically.
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

This Post Doctorate Research Associate (PDRA) role is primarily focused on the independent technical delivery of and leadership in the development of projects/activities related to ML/ AI in AM within CAAAM The PDRA will work with the faculty across various departments with interdisciplinary approach to AM The primary responsibility of this position is to develop digital manufacturing capabilities using ML/ AI learning approaches in AM.
The PDRA will provide solution concepts and develop, integrate and implement data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific capabilities highly desired of the candidate include but not limited to: experience in ML/ AI…

Position Requirements
10+ Years work experience
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