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Research Assistant Professor - Additive Manufacturing with Emphasis on Data Science and Analytics and Computational Process Modeling
Job Description
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. |
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Posting Title | Research Assistant Professor - Additive Manufacturing with Emphasis on Data Science and Analytics and Computational Process Modeling |
Department | UNT-Ctr Agile & Adaptive Add. Mfg-190405 |
College/School | |
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 building its Center for Agile and Adaptive Manufacturing (CAAAM), 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 was established in 2019 and has evolved into a comprehensive research facility (https://caaam.unt.edu/). CAAAM involves a multi-disciplinary team of researchers from materials science, mechanical engineering, manufacturing, data science, cybersecurity, and logistics & supply chain management, committed to collaborating on large research projects with an emphasis on additive manufacturing. Specifically, data science & analytics and physics-based AM process modeling for its thermokinetic effects on materials in the context of advanced manufacturing systems in general and additive manufacturing systems more specifically continue to be emphasis of CAAAM activities. 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 Center for Agile and Adaptive Manufacturing (CAAAM) is seeking a Research Assistant Professor to collaborate with a team of faculty on issues related to AM. This is a non-tenure track predefined terms faculty position with a primary association with CAAAM and secondary association jointly with the Department of Mechanical Engineering and Department of Materials Science & Engineering, College of Engineering. The selected research faculty is expected to focus on data science & analytics and physics-based AM process modeling for its thermokinetic effects on materials in the context of advanced manufacturing systems in general and additive manufacturing systems particular. A successful candidate will work closely with the CAAAM associated faculty and researchers in multidisciplinary areas complementary to advanced/additive manufacturing. The candidate is also expected to develop educational material for training skilled workforce to operate advanced manufacturing systems as well as mentor graduate students and post-doctoral researchers working in CAAAM. |
Minimum Qualifications | An earned doctorate in, Mechanical Engineering or Materials Science & Engineering or a related discipline with a research focus on data science and analytics and computational modeling of thermokinetics related transformations during AM. |
Preferred Qualifications | Experience working with industry members in related areas with applications in manufacturing is preferred. The research background should be evident from high quality publications. 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 | Additive Manufacturing with Emphasis on Data Science and Analytics and Computational Process Modeling |
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 | F926P |
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Special Instructions to Applicants | The applicant should submit a two-page research statement that highlights the specific data science and physics-based computational modeling challenges related to AM, that the candidate plans to address, if selected for this research faculty position. The same research plan should also address how the candidate’s prior work and experience will help address these challenges. Applicants should submit curriculum vita, the two page research narrative statement describing scholarly research, two sample publications and list of names and contact information of three references to: https://jobs.untsystem.edu/postings/61434 Applications will be accepted until the position is closed. |
Quicklink for Posting | https://jobs.untsystem.edu/postings/61434 |
Position End Date (if temporary) |
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