University of North Texas
6 days ago
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.
Country
United States
University
University of North Texas

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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.
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