Postdoctoral Position with Dane Morgan at University of Wisconsin – Madison (Modeling of Precipitate Evolution in Steels)
We invite applications for the following position at the University of Wisconsin – Madison with Professor Dane Morgan in the Department of Materials Science and Engineering.
Position: Modeling of Precipitate Evolution in Steels
This work will use multiscale alloy thermokinetic modeling to predict precipitate formation and associated mechanical property changes in complex steels, with a focus on radiation effects and the critical challenges for present and next generation nuclear reactors. The work is part of active collaborations with top experimental groups and will enable career expanding interaction and collaboration with many researchers in the field.
A PhD in materials science, physics, chemistry, chemical engineering, nuclear engineering, or a related field is required. Familiarity with one or more of modern programming techniques, materials informatics, molecular simulation, CALPHAD, and precipitation modeling is preferred, but capable and enthusiastic applicants with varied background will be considered.
The appointment is initially for one year with the expectation of this being extended if the work is going well. Interested applicants should send a CV in PDF format and contact information for 3 references to group recruiter Shipeng Shu at email@example.com. Review of applicants will begin immediately and will continue until the position is filled.
Professor Dane Morgan and the Computational Materials Group (CMG) (https://engrmatmodel.wiscweb.wisc.edu/): CMG is a joint effort of Izabela Szlufarska and Dane Morgan in the Department of Materials Science and Engineering at UW Madison. We are a highly active group and work in areas including nuclear materials, amorphous alloys, nanomechanics, nano-bio interfaces, fuel cells, batteries, semiconductors, and geophysics.
Open Opportunity in Informatics Skunkworks for Undergraduates at University of Wisconsin – Madison
Prof. Morgan has initiated an Undergraduate Informatics Skunkworks where undergraduates apply informatics, machine learning, and related tools to science problems. We have a team of 12 already, with data sets and projects from local industry and faculty at UW and other Universities. If you are interested please contact Dane at firstname.lastname@example.org. For a talk related to some of our activities, please see here (see slides 15-17 for specific information for interested students). Also please see our informational flyer.