We are pleased to announce that three fully funded Ph.D. positions are available immediately in the Advanced Hierarchical Materials by Design Lab at the University of Alabama. Our lab focuses on multiscale modeling of materials and processes, and we are looking for motivated candidates to join our team in the following exciting research areas:
The Manufacturing Laboratory in the Department of Mechanical Engineering at the University of Alabama is looking for a highly driven Visiting Research Professor to join the lab. Our group focuses on developing advanced surface engineering techniques, particularly laser-based methods, and conducting experiments to deepen our understanding of the microstructure-property-process relationship.
A fully supported Ph.D. position is open immediately in Advanced Hierarchical Materials by Design Lab at the University of Alabama. This role focuses on the multiscale modeling of materials, specifically for the additive manufacturing of metals. The successful candidate will engage in detailed modeling of the additive manufacturing process and the development of novel metal alloys, utilizing techniques such as continuum mechanics, phase-field modeling, CALPHAD simulations, and molecular dynamics models.
One fully supported Ph.D. position is open immediately in Advanced Hierarchical Materials by Design Lab at the University of Alabama on multiscale modeling of materials and processes. The goal of this research project is to use machine learning algorithms to design materials and their synthesis process.
We would like to invite you to present your work at our mini-symposium titled "Multiscale Modeling of Phase Transformation in Materials" at the 2023 annual Society of Engineering Sciences (SES) meeting.
One fully supported Ph.D. position is open immediately in Advanced Hierarchical Materials by Design Lab at the University of Alabama on multiscale modeling of materials and processes. The goal of this research project is to use machine learning algorithms to design materials and their synthesis process.
Two fully supported Ph.D. positions are available starting Fall 2022 in Advanced Hierarchical Materials by Design Lab at the University of Alabama on multiscale modeling of materials and processes. The objective of one project is to model the synthesis of 2D materials to design new processes to improve synthesis efficiency, as well as synthesis by the design of these materials, and to use machine learning algorithms to design materials and their synthesis process. The other is focused on modeling the additive manufacturing processes for in-space manufacturing.
An immediate postdoctoral associate position with a tentative start date of Jan 15 is available in Advanced Hierarchical Materials by Design Lab at the University of Alabama with Prof. Kasra Momeni on multiscale modeling materials and processes. This project aims to develop multiscale models of alloys under extreme conditions, such as radiation, heat, and stresses, to develop new alloys. The postdoctoral researcher will lead several projects on material design using various techniques, such as molecular dynamics, phase-field, and CALPHAD.
A fully supported Ph.D. position is open immediately in Advanced Hierarchical Materials by Design Lab at the University of Alabama on multiscale modeling of materials and processes. The research goal of this project is to model the additive manufacturing process and develop new alloys for additive manufacturing. During this projects, the candidate will have the opportunity to collaborate with NASA research centers, national labs, and different universities across the nation.
An immediate postdoctoral associate position is available in Advanced Hierarchical Materials by Design Lab at the University of Alabama with Prof. Kasra Momeni on multiscale modeling of materials and processes. The goal of this project is to develop multiscale models of alloys under extreme conditions, such as radiation, heat, and stresses, to develop new alloys. The postdoctoral researcher will lead several projects on the material design using various techniques, such as molecular dynamics, phase-field, and CALPHAD.
