Kumar Ankit's blog

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: 

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.

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).

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

Kumar Ankit, Arizona State University. 

Yang Jiao, Arizona State University. 

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.

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).

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).