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Faculty Position in Machine Learning - Arizona State University

We are running a faculty search in the area of Machine Learning at ASU School for Engineering of Matter, Transport and Energy this year. We seek applicants who are interested in developing novel Machine Learning/Artificial Intelligence-based approaches for advancing the fields of mechanics and materials engineering. Please feel free to share this information with colleagues, former and current advisees and others that may be interested. Application link: 

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Postdoc position at Arizona State University: Phase-field modeling of multicomponent steel microstructures

A Postdoctoral Associate position is available starting Fall 2022 in my group at the Arizona State University, Tempe. The suitable candidate will have a background in phase-field modeling and/or knowledge of machine learning as relevant for materials science and engineering. Knowledge of the Physical Metallurgy of steel microstructures is a plus. A doctoral degree or equivalent in materials science, metallurgical engineering, physics, computer engineering, or similar fields is preferred.

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Professor (all ranks) in Manufacturing and Biomanufacturing at the Arizona State University

The Ira A. Fulton Schools of Engineering (FSE) at Arizona State University (ASU) and the School for Engineering of Matter, Transport and Energy are hiring faculty to support a broad initiative in manufacturing and biomanufacturing. In conjunction with that initiative, we seek applicants for tenure-track/tenured faculty positions in the areas of manufacturing of advanced materials (metals, polymers, ceramics, semiconductor, and composites) and biomanufacturing/biofabrication (biomolecules, biomaterials, cells and tissues).

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Postdoc position in phase-field modeling at the Arizona State University

A Postdoctoral Associate position is available starting January 2019 at the School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, United States. The position will be based in the Laboratory for 4D Interface Control and Engineering (4D-ICE) which is headed by Prof. Kumar Ankit.

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Call for abstracts, SIAM MS-18: Recent advances in phase-field modeling and analysis of microstructural evolution.

Minisymposium

Recent advances in phase-field modeling and analysis of microstructural evolution.

(Flyer attached)

Conference Dates: July 9-13, 2018.

Venue: Portland, Oregon

Submission Deadline: January 18, 2018

Travel Funding for students: January 19, 2018

Organizers

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Two Ph.D. positions in phase-field modeling or machine learning at the Arizona State University, Tempe

There are 2 openings for Ph.D. students in the School for Engineering of Matter, Transport & Energy at the Arizona State University. ASU has been ranked (#1) as the most innovative school by U.S. News for making rapid improvements in terms of curriculum, faculty, students, campus life, technology, and facilities. The Materials Science and Engineering program at ASU is one of the most respected programs in the United States (https://semte.engineering.asu.edu/materials-science-engineering/).

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Influence of substrate interaction and confinement on electric-field-induced transition in symmetric block-copolymer thin films

In the present work, we study morphologies arising due to competing substrate interaction, electric field, and confinement effects on a symmetric diblock copolymer. We employ a coarse-grained nonlocal Cahn-Hilliard phenomenological model taking into account the appropriate contributions of substrate interaction and electrostatic field. The proposed model couples the Ohta-Kawasaki functional with Maxwell equation of electrostatics, thus alleviating the need for any approximate solution used in previous studies.

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PhD/Postdoctoral position@KIT (Germany) on phase-field modeling of polycrystalline evolution in geological veins

GEOLAB, a joint initiative of the Karlsruhe Institute of Technology (KIT, Karlsruhe, Germany), Helmholtz
centers for Environmental Research (UFZ) and Geosciences (GFZ,Potsdam) invite applications
for a PhD/Postdoc candidate position (Salary scale TV-L E13).

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Phase-field simulations of non-cooperative eutectoid transformation proceeding from polycrystalline austenite in Fe-C steels

Link to the article published in Acta Materialia: http://authors.elsevier.com/a/1RMRv_UwYsChmK (Free access for 50 days)

K. Ankit, R. Mukherjee, B. Nestler. Deviations from cooperative growth mode during eutectoid transformation: Mechanisms of polycrystalline eutectoid evolution in Fe–C steels. Acta Materialia 97 (2015) 316–324.

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PhD Position in microstructure modeling using multicomponent multiphase-field method

The Graduate School -1483 of the German Research Foundation (DFG) “Process Chains in Production - Interaction, Modeling and Assessment of Process Zones” at the Karlsruhe Institute of Technology (KIT) and Karlsruhe University of Applied Sciences invite applications for a PhD candidate position (Salary scale TV-L E13).

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Evolution of mixed cementite morphologies during non-cooperative eutectoid transformation in Fe–C steels

We numerically investigate the characteristics of concurrent carbon redistribution pathways, as the ferrite–austenite front evolves during an isothermal eutectoid transformation starting from a random distribution of preexisting cementite particle.

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Application of phase-field method in Geoscience - Microstructure evolution

The recently published work shows the application of phase-field methods, which is more popular in the material science community, in the area of geophysics.

 Publisher: http://rd.springer.com/article/10.1007%2Fs00410-013-0950-x

 Preprint as attachment

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