Klaus-Dieter Liss
11 months ago
Materials behavior and processing University of Tennessee in United States
Degree Level
PhD
Field of study
Data Science
Deadline
Jan 1, 2025
Country
United States
University
University Name
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Where to contact
Official Email
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Keywords
Data Science
Materials Science
Artificial Intelligence
Neutron Scattering
Engineering Physics
Synchrotron Radiation
X-ray Physics
Technical Engineering
Diffraction
Instrumentation And Control
About this position
PhD opportunity in material science focusing on use of Artificial intelligence in predicting Diffraction in materials. Read post for more details and apply ASAP.
Diffraction-Based Materials Science with Artificial Intelligence.
We are seeking a PhD student to delve into materials behavior and processing by neutron and synchrotron X-ray diffraction methods, exploiting state of the art data with machine learning methods and artificial intelligence. The candidate will conduct experiments on selected specimen systems at leading facilities, analyze the data in conventional ways and feed them into the machine learning. This is an interdisciplinary project co-supervised by experts in diffraction methods for materials science, and artificial intelligence. Details upon discussion at further consideration. The project will start mid 2025 at University of Tennessee , and applicants being in the country or allowed to work in the USA will be preferred.
Supervisor: Klaus-Dieter Liss
Co-Advisor: Arpan Biswas
https://lnkd.in/gStgdASZ
University of Tennessee-Oak Ridge Innovation Institute ; Neutrons at ORNL ; Bredesen Center for Interdisciplinary Research and Graduate Education ;
neutronscattering synchrotron materialsscience physics instrumentation engineering highenergyxrays
We are seeking a PhD student to delve into materials behavior and processing by neutron and synchrotron X-ray diffraction methods, exploiting state of the art data with machine learning methods and artificial intelligence. The candidate will conduct experiments on selected specimen systems at leading facilities, analyze the data in conventional ways and feed them into the machine learning. This is an interdisciplinary project co-supervised by experts in diffraction methods for materials science, and artificial intelligence. Details upon discussion at further consideration. The project will start mid 2025 at University of Tennessee , and applicants being in the country or allowed to work in the USA will be preferred.
Supervisor: Klaus-Dieter Liss
Co-Advisor: Arpan Biswas
https://lnkd.in/gStgdASZ
University of Tennessee-Oak Ridge Innovation Institute ; Neutrons at ORNL ; Bredesen Center for Interdisciplinary Research and Graduate Education ;
neutronscattering synchrotron materialsscience physics instrumentation engineering highenergyxrays
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