About Us - Values Overview

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 ITEAM-provides courses, seminars, workshops, symposia, in-lab training sessions, and summer camps for industry and community colleges.

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

UNT's Center for Agile and Adaptive Additive Manufacturing (CAAAM) is searching for a postdoctoral scientist to work with existing experimental setups and develop methods for in-situ diagnostic and monitoring additive manufacturing (AM) processes toward the 3D printing of metal alloys and ceramics. The successful candidate will use optical and acoustic imaging and spectroscopic tools to monitor AM processing of metal alloy and ceramic powders using direct energy deposition and powder bed laser sintering. Familiarity with one or more material diagnostic techniques such as infrared imaging and spectroscopy, thermal imaging, Raman spectroscopy for metals and ceramics, plasma emission spectroscopy, non-destructive ultrasonic spectroscopy and testing of materials, transient laser spectroscopy as well as other diagnostic methods will be preferred. The candidate will assist in advancing necessary instrumentation for data collection and analysis, integrating process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis.

Minimum Qualifications

Ph.D. in Electrical Engineering, Mechanical Engineering, Materials Engineering, Physics or closely related field.

Preferred Qualifications

Ph.D. in Electrical Engineering, Mechanical Engineering, Materials Engineering, Physics or closely related field and hands on experience with infrared imaging, spectroscopic and/or acoustic diagnostic methods and process control instrumentation.

Required License/Registration/Certifications

Job Duties

• Conduct experiments, gather data, document research notes, code and analyze data, interpret data.
• Prepare manuscripts for publications in a timely manner and talks and posters for presentation at group meetings and conferences. Assist with reporting of research progress to funding agencies.
• Keep up with historical and latest research data and publications.
• Stay up-to-date with all trainings, and federal, state, university and department requirements. 

Physical Requirements

Communicating with others to exchange information.

Environmental Hazards

No adverse environmental conditions expected.

Work Schedule

varies based on assignment

Driving University Vehicle

No

Security Sensitive

This is a Security Sensitive Position.

Special Instructions

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted. 

Benefits

For information regarding our Benefits, click here.

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit –and takes actions to prevent – discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.