This job has Expired
Postdoctoral Research Associate - Machine Learning/Artificial Intelligence for Additive Manufacturing
Job Description
Position Details
Position Information
| UNT System Overview | 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 the University of North Texas Health Science Center at 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 inclusive 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 at www.UNTSystem.edu. |
|---|---|
| Posting Title | Postdoctoral Research Associate - Machine Learning/Artificial Intelligence for Additive Manufacturing |
| Department | UNT-Ctr Agile & Adaptive Add. Mfg-190405 |
| College/School | The Center for Agile and Adaptive Additive Manufacturing (CAAAM) |
| 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 | 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. |
| Preferred Qualifications | Applicants that demonstrate aptitude and experience in interdisciplinary collaborations will be a plus. |
| 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 | F1335P |
|---|---|
| Special Instructions to Applicants | Review of applications begins immediately. Applications will be accepted until the position is closed. |
| Quicklink for Posting | https://jobs.untsystem.edu/postings/76168 |
| Position End Date (if temporary) |
*Please mention you saw this ad on AcademicJobs.*
