Research Asst Professor

Job description

UNT System Overview:

Welcome to the University of North Texas System, or UNT World as we like to call ourselves. UNT World 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. Over the past decade, combined UNTS enrollment has grown by more than 25 percent to nearly 44,000 students.

Posting Title:

Research Asst Professor


UNT-Ctr Agile & Adaptive Add. Mfg-190405


College of Engineering

Job Location:


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 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 cybersecurity in the context of advanced manufacturing systems in general and additive manufacturing systems more specifically.

Position Summary:

The Center for Agile and Adaptive Manufacturing (CAAAM) is seeking a Research Assistant Professor to collaborate with a team of faculty on cybersecurity issues related to AM. This is a non-tenure track terminal position with a primary association with CAAAM and secondary association with an appropriate academic department. The selected candidate is expected to focus on cybersecurity in the context of advanced manufacturing systems in general and additive manufacturing systems more specifically. A successful candidate will work closely with faculty in the Computer Science and Engineering department as well as other faculty and researchers in CAAAM. The candidate is expected to conduct research on securing advanced manufacturing systems and develop fundamental and innovative approaches to the design and validation of secure, trustworthy and resilient cyber systems for industrial automation. The candidate is also expected to develop educational material for training workforce to operate advanced manufacturing systems as well as mentor graduate students and post-doctoral researchers working in CAAAM.

Minimum Qualifications:

Minimum qualifications include an earned doctorate in Computer Engineering, Computer Science or a related discipline with a research focus on cybersecurity in general but more specifically, cybersecurity related to cyber-physical systems, security in edge devices, hardware/systems security, security of IoT’s and Industrial IoT’s, design and validation of secure and resilient cyber-physical systems. The research background should be evident from high quality publications.

Physical Requirements:

Talk or Hear

Area of Specialty:

Additive Manufacturing with Emphasis on Cybersecurity

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:


Posting Number:


Special Instructions to Applicants:

As “Other Document,” applicants should submit a 2-page proposed research plan that highlights the specific cybersecurity 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 cybersecurity challenges.

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Job No:
Posted: 6/14/2020
Application Due: 6/15/2021
Work Type: Full Time