We have 1 PhD position funded by NSF in 2024 Spring at SUNY Binghamton, New York. 

The research will be on multiphysics modeling & simulation for soft functional composites in flexible electronics. The major task will be performing multiphysics/multiscale finite element simulation (ABAQUS), nonlinear constitutive modeling, micromechanics modeling, etc.  For more info about the lab, please refer to http://puzhang.weebly.com/ .

We are looking for a postdoctoral researcher to work on the project MECA-ICTUS, a 3-year project funded under the Generación de Conocimiento 2022 call of Agencia Estatal de Investigación. In MECA-ICTUS we will pursue the development of computational mechanics and machine learning tools for predicting the success of endovascular thrombectomy, an urgent intervention for the removal of thrombi in Acute Ischemic Stroke Patients.

The Computational Biomechanics Lab (PI: Dr. Lik Chuan Lee) in Michigan State University has opening for a postdoc position that is available immediately.

Three postdoctoral positions in computational mechanics, structures and material optimization, artificial intelligence, and heat transfer at the University of California San Diego.

We are organizing a Focus Topic "Statistical Physics in Constitutive Modeling" for the upcoming 2024 March Meeting of the American Physical Society (https://march.aps.org/). Please consider contributing an abstract once submissions open on August 31, and find the description below. This will be a exciting opportunity to connect with fellow reseachers in this area and discuss recent work. Questions to mrbuche [at] sandia.gov (mrbuche[at]sandia[dot]gov).

Yida Zhang

Assistant Professor

Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO, 80303

Research lab: https://www.yidazhanggroup.com/

1. Introduction

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. 

Diverse science and engineering problems are governed by delay differential equations (DDE). Seeking periodic solutions of DDEs is crucial for many nonlinear dynamic systems. The incremental harmonic balance (IHB) method is an efficient semi-analytical ap- proach for periodic solutions of DDE.

The Design & Uncertainty Quantification group at The University of Iowa, led by Professor Sharif Rahman, is looking for two new Ph.D. students, who are capable of and interested in performing high-quality research on solid mechanics, uncertainty quantification, and design optimization. The research, supported by U.S. National Science Foundation, requires building a solid mathematical foundation, devising efficient numerical algorithms, and developing practical computational tools, all associated with stochastic analysis and design of complex materials and structures.