Skip to main content

Fully-funded Ph.D. student positions at the University of Oklahoma

Submitted by Shuozhi Xu on

Dear Colleagues,

I will join the School of Aerospace and Mechanical Engineering at the University of Oklahoma as a tenure-track Assistant Professor. I have two fully-funded Ph.D. student positions in my group. The students will work in general fields of computational materials science and solid mechanics. Please share the attached flyer with anyone who may be interested.

Thank you

Shuozhi Xu

Drug repurposing for SARS-CoV-2 : a multi-modal computational study

Submitted by Dibakar Datta on

  

   Drug repurposing for SARS-CoV-2: a high-throughput molecular docking, molecular dynamics, machine learning, and DFT study   

   By J. Kashyap and D. Datta

   Part of special issue on 'Computational Materials Design' in Journal of Materials Science 

#SARS-Cov-2 #COVID19 #COVID #Coronavirus 

          

PhD position at Lund University: Modeling of Microstructure Mechanics in Metal Foams

Submitted by HHallberg on

 

I have an opening for a PhD student in computational mechanics related to numerical modeling of microstructure mechanics in metal foams. The position is part of a larger Swedish-German Röntgen-Ångström Cluster project, involving partners at Ulm University (Germany) and Malmö University (Sweden), for which I am PI on the Swedish side and Professor Carl Krill on ther German side.

The project will include:

Ph.D. Position in Mechanics of Materials at North Carolina State University for 2022 Fall and 2023 Spring

Submitted by Jie. Yin on

Ph.D. positions starting from 2022 Fall and 2023 Spring in Applied Mechanics of Materials lab at NCSU led by Dr. Jie Yin.

The research program will focus on mechanics and design of mechanical metamaterials. Candidates with high self-motivation, experimental or modeling background and interests in mechanics, mechanical engineering, and materials science and engineering are highly encouraged to apply. 

​​Journal Club for May 2022: Machine Learning in Mechanics: curating datasets and defining challenge problems

Submitted by elejeune on

 

Over the past several years, machine learning (ML) applied to problems in mechanics has massively grown in popularity. Here is a figure from a slide that I made in early 2020 referencing a few examples from the literature — already this slide feels out of date! All of these authors (and many many others) have published new papers on this topic. 

As more researchers apply ML methods to problems in mechanics, I believe two methodological questions have become increasingly important: 

Sinus ventilation due to accessory ostia

Submitted by mpeleehp on

There is an anceint saying "A room of many doors will be windy, a person of many works (talkative) will bring disaster". Can this saying be applicable to special cases of maxillary sinus with accessary ostia? Tppically a sinus only has one opening, known as ostium. The air, mucus, can only enter and discharge via this single opening. However, for some, the sinus may have multiple openings, known as accessory ostium. In the work below, we use computaitonal fluid dynamics to examine the effect.

PostDoc/Research Associate Position - phase transformation and ferroelasticity

Submitted by mohsenzaeem on

A PostDoc/Research Associate Position is available immediately at Colorado School of Mines. The applicants should have a PhD degree in Mechanical Engineering, Materials Science or a relevant field, with a strong background in phase-field modeling and/or MD simulations, especially in the area of diffusionless phase transformation and ferroelasticity. Knowledge of machine learning and data analysis is a plus.