This job has Expired

unt_dallaas.jpg

Postdoctoral Research Assoc in Machine Learning/Artificial Intelligence for Additive Manufacturing

University of North Texas at Dallas

Job Description

Postdoctoral Research Assoc in Machine Learning/Artificial Intelligence for Additive Manufacturing


Position Details
Position Information

UNT System Overview
Welcome to the University of North Texas System . UNT System includes the University of North Texas in Denton , the University of North Texas at Dallas and the University of North Texas Health Science Center in Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region and we are committed to transforming lives and creating economic opportunity through education. We are growing with the DFW region, enrolling a record 47,000+ students across our system and awarding nearly 12,000 degrees each year.
Posting Title Postdoctoral Research Assoc in Machine Learning/Artificial Intelligence for Additive Manufacturing
Department UNT-Ctr Agile & Adaptive Add. Mfg-190405
College/School Center for Agile and Adaptive Additive Manufacturing
Job Location Denton
Full Time/Part Time Full-Time
Retirement Eligibility ORP Eligible
Additional Retirement Information
For more information on retirement plan options, please visit https://hr.untsystem.edu/benefits/retirement-plans/index.php .
Salary Information
Department Summary
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, AI) 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 Summary
The 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 inter-disciplinary 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 approaches, application of ML/AL in image processing, reasonable understanding of science/physics and engineering of AM processes for metallic systems, knowledge and experience in heat transfer/fluid dynamics/structural mechanics through the applications of computational and statistical methods. The position is also expected to provide technical expertise and support to graduate and undergraduate students, assist/lead preparation of research proposals and scientific/technical papers and presentations.
Minimum Qualifications
Minimum qualifications include an earned doctorate in mechanical engineering or materials science and engineering or physics or a related discipline with a research focus on ML/AI in materials processing/manufacturing. The research background should be evident from the prior high-quality publications. Applicants that demonstrate aptitude and experience in interdisciplinary collaborations will be a plus.
Preferred Qualifications
Required License / Registration / Certification
Physical Requirements Ability to communicate
Area of Specialty Machine Learning/Artificial Intelligence for Additive Manufacturing
Security Sensitive This is a security sensitive position.
EEO Statement

The University of North Texas System and its component institutions are committed to equal opportunity and comply with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of North Texas System and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices.

Driving University Vehicle No

Job Duties


Posting Detail Information

Posting Number F1171P
Special Instructions to Applicants
Applicants should submit Curriculum Vita, Narrative Describing Scholarly Research, and Sample Publications.
Quicklink for Posting https://jobs.untsystem.edu/postings/70235
Position End Date (if temporary)

*Please mention you saw this ad on AcademicJobs.*

Apply Now

Be Seen By Recruiters at the
Best Institutions

Create Your FREE Profile Now!