computational mechanics

Glad to share that the University of Pavia, together with Politecnico di Milano, Technion - Israel Institute of Technology and University of Bologna, organizes the International Summer School “Mechanics of active soft materials: experiments, theory, numerics, and applications” within the Lake Como School of Advanced Studies, from 1st to 5th July 2024 at Villa del Grumello (Como, Italy). https://star.lakecomoschool.org/

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The University of Pavia, together with Politecnico di Milano, Technion - Israel Institute of Technology and University of Bologna, organizes the International Summer School “Mechanics of active soft materials: experiments, theory, numerics, and applications” within the Lake Como School of Advanced Studies.

Call for papers  Dear colleague,  

We warmly invite you to submit an Abstract to the mini symposium: Numerical modelling of Composite Materials and Structures (1004) 

Which is a part of: The 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics which is held between 21-26th July 2024 on Vancouver, Canada. 

Websites: 

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.

Multiple postdoc and one PhD positions are open at Tsinghua University. The research will take place at Tsinghua University’s Shenzhen International Graduate School (SIGS), located in Shenzhen, China, and is partly sponsored by NSFC and Tsinghua SIGS’s scientific research startup funds.

We are seeking a highly motivated and enthusiastic researcher to fill a Postdoctoral Researcher position in Computational Solid Mechanics at the Florida A&M University-Florida State University College of Engineering (FAMU-FSU COE) in Tallahassee, Florida. The researcher will work on projects funded by the National Institutes of Health (NIH) aimed at developing novel computational techniques that leverage deep learning methods for solving problems in computational solid mechanics.

One PhD student is sought to fill an opening in the Gross Materials Lab (group website: andrewjgross.com) at the University of South Carolina. This research is focused on developing predictive models for how damage forms in carbon/carbon composites during manufacturing. This research will be primarily computational and provide opportunities to work closely with a team of researchers that are conducting experiments.  Students must be capable coders and a US citizen to be considered.

The Computations for Advanced Materials and Manufacturing Laboratory (CAMML) in the College of Engineering and Physical Science at the University of Wyoming has an opening for a Ph.D. student for Fall 2023, in the area of multiscale modeling of heterogeneous materials under inelastic deformation and damage. 

Are you interested in developing Digital Twin technology for machines and structures? Do you have experience with virtual/hybrid testing and/or structural health monitoring? Are you eager to bridge the gap between structural engineering and cyber-physical system engineering? Then the Department of Civil and Architectural Engineering invites you to apply for a 1.0-year Postdoc position funded by the IFD project “Cyber-physical systems for machines and structures – CP-SENS.”
 

Expected start date and duration of employment

Funded Ph.D. position in the Department of Mechanical Engineering- Engineering Mechanics at the Michigan Technological University. Starting June/September 2023. 

Kindly forward this message to anyone who you feel might be interested in this position. 

We are looking for a self-motivated Ph.D. student to study Machine Learning enabled computational models for applications in Material Modeling and Computational Mechanics. 

The Uncertainty Quantification (UQ) Lab at the University of Houston (UH), led by Dr. Ruda Zhang, invites applications for:

• two (2) PhD student positions in areas of data-driven engineering and uncertainty quantification, and
• one (1) postdoctoral researcher in areas of surrogate modeling and data-driven dynamics.

For job details and updates, see lab webpage: https://uq.uh.edu/positions

 PhD Students - 2023

A research fellow position is available at University of Pavia in Italy starting February-May 2023. The position is part of a project in collaboration with Technion - Israel Institute of Technology. Interested candidates are encouraged to contact Prof. Giulia Scalet (giulia.scalet@unipv.it).

Over the last years, UGent-MMS has developed the stand-alone BladeMesher software for generating finite element models of large wind turbine blades. The software reads in the material data and airfoil data of the wind turbine blade, and automatically constructs the geometry and finite element mesh for the blade. In a next step, the nodal and element information of the finite element mesh is written out to an input file for a commercial finite element solver (Abaqus in this case).

POST-DOCTORAL POSITION WITHIN THE PROJECT

"Physics-informed Artificial Intelligence for Cognitive Twins of Complex Systems"

We are seeking several doctoral students to join the Multiscale Computational Mechanics Laboratory (MCML) at Vanderbilt University beginning either Spring 2023 or Fall 2023. The two broad research areas are briefly described below. Candidates must also have a strong general interest (prior experience is a plus) in computational mathematics, mechanics, modeling and simulation and computer programming.

The specific research areas as follows:

We are looking for a doctoral student to work multi-scale modeling of sea ice deformation on numerical modeling of ridging of sea ice by using discrete element method. Large-scale continuum models are typically used to study ice behavior with a resolution of some tens of kilometers. These models do not accurately describe small-scale processes related to deformation and failure of ice. In such models, the ice properties, such as compressive strength are tuned so that the models to present observed ice behavior. Predictive power of the models suffers from this.

Over the last years, UGent-MMS has developed the stand-alone BladeMesher software for generating finite element models of large wind turbine blades. The software reads in the material data and airfoil data of the wind turbine blade, and automatically constructs the geometry and finite element mesh for the blade. In a next step, the nodal and element information of the finite element mesh is written out to an input file for a commercial finite element solver (Abaqus in this case).