materials design

I am seeking a motivated and qualified postdoctoral fellow with expertise in the field of machine learning (ML)-informed materials design. In particular, the postdoctoral fellow will work closely in collaboration with other experimentalists and modelers within the newly established AI for Materials Design (AIMD) facility at JHU for the design of new refractory multi-principal-element alloys (RMPEAs) by identifying their processing-structure-property-performance relationships for high-strain-rate and high-temperature-rate applications.

Two postdoc positions in computational science are available at UIUC in the research group of Prof. Harley T. Johnson in the Department of Mechanical Science and Engineering and the Materials Research Lab.  

Esteemed Colleagues,

Processing technologies are rapidly advancing and manufacturers now have the ability to control material architecture, or topology, at unprecedented length scales. This opens up the design space and provides exciting opportunities for tailoring material properties through design of the material’s topology. But as seen many times in history with advancements in materials and processing technologies, the natural default is to rely on familiar shapes and structure topologies.

We are pleased to announce the symposium "Design, Fabrication and Characterization of Architected Materials" at the upcoming 2015 Mach Conference (http://machconference.org).  A full description of the symposium is provided below. Abstracts are due December 5, though please let us know if you are interested in participating but need additional time to prepare the abstract. 

Regards.
Jamie Guest, Johns Hopkins University
Lorenzo Valdevit, University of California, Irvine

The Multifunctional Materials Branch of the Materials Science & Technology Division at the US Naval Research Laboratory in Washington DC has an interest in postdoctoral associate candidates for the areas of materials and devices for power and energy applications.