Publisher
source

University of North Texas

Postdoctoral Research Associate in Machine Learning and Artificial Intelligence for Additive Manufacturing University of North Texas in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral research associate position with competitive compensation commensurate with qualifications, experience, discipline, university guidelines, and available funding.

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Country

United States

University

University of North Texas

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Keywords

Computer Science
Data Science
Mechanical Engineering
Materials Science
Artificial Intelligence
Manufacturing Engineering
Additive Manufacturing
Statistics
Physics
ML

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About this position

University of North Texas is advertising a Postdoctoral Research Associate position in Machine Learning / Artificial Intelligence for Additive Manufacturing within the Center for Agile and Adaptive Additive Manufacturing (CAAAM).

The role is centered on developing digital manufacturing capabilities using ML/AI approaches for additive manufacturing systems. The postdoc will work across departments in an interdisciplinary environment and contribute to process optimization, defect prediction, and property prediction using experimental datasets and physics-based model datasets.

Research interests include additive manufacturing, machine learning, artificial intelligence, data analytics, materials science, mechanical engineering, and related computational/statistical methods. The post also highlights image processing, heat transfer, fluid dynamics, structural mechanics, and metallic systems as especially relevant areas.

Minimum qualifications include an earned doctorate in mechanical engineering, materials science and engineering, physics, or a related discipline with a research focus on ML/AI in materials processing/manufacturing, plus a publication record in ML/AI for additive manufacturing. Interdisciplinary collaboration experience is preferred.

The position is based at the University of North Texas in Denton, Texas, United States. Compensation is competitive and commensurate with qualifications, experience, discipline, university guidelines, and available funding.

Applicants must apply through the university careers portal and submit at least two professional references. No deadline is listed in the post.

Funding details

Postdoctoral research associate position with competitive compensation commensurate with qualifications, experience, discipline, university guidelines, and available funding.

What's required

Earned doctorate in mechanical engineering, materials science and engineering, physics, or a related discipline with a research focus on machine learning/artificial intelligence in materials processing or manufacturing. Applicants should have a record of publications related to machine learning/artificial intelligence for additive manufacturing. Interdisciplinary collaboration experience is preferred. Desired experience includes ML/AI approaches, image processing, understanding of additive manufacturing science/physics and engineering for metallic systems, and knowledge of heat transfer, fluid dynamics, and structural mechanics using computational and statistical methods.

How to apply

Apply through the university careers portal using the View or Apply link. Submit the application with at least two professional references; additional references may be added after submission.

More information can be found here

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