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Postdoc position at University of Southern California

Submitted by Hangbo Zhao on

The Zhao Research Group at USC has a postdoc position starting in Summer or Fall 2022 in the area of mechanics and manufacturing of flexible electronic sensors. Candidates with experience in finite element simulation, material characterization, and sensor design and fabrication are encouraged to apply by sending a CV to Dr. Hangbo Zhao (hangbozh [at] usc.edu). 

PhD position in Machine Learning and Physical Simulation

Submitted by Alessandro Luc… on

At Scuola Superiore Sant'Anna of Pisa, Italy, there are 2 PhD scholarships funded by my ERC Starting Grant ALPS - AI-based Learning for Physical Simulation. In this project, which will start next September, we aim to build algorithms that can learn physical models starting from experimental data.

Postdoctoral Position in the Area of Dynamics of Metamaterials

Submitted by Harold S. Park on

I am looking to recruit a highly motivated and independent postdoctoral researcher to study, theoretically and computationally topics related to the dynamics of metamaterials, with specific emphasis on wave phenomena.  The position is available immediately, and potentially relevant backgrounds for the position include:

1. Phononic crystals

2. Acoustic or phononic bandgaps

3. Non-reciprocal wave propagation

Departmental Lecturer position in Mechanical Engineering at the University of Oxford

Submitted by Laurence Brassart on

The Department of Engineering Science intends to appoint a full-time Departmental Lecturer in Mechanical Engineering to join the Solid Mechanics and Materials Engineering Group with effect from 1 September 2022 or as soon as possible thereafter. The successful candidate will work at the Department of Engineering Science (Central Oxford, OX1 3PJ). The post is fixed-term for a duration of five years.

MS/PhD RA positions, U Tennessee Knoxville, Statistical homogenization & multiscale failure analysis

Submitted by rabedi on

I have up to 4 open positions (funded by the department of defense and other sources) for MS or PhD (preferred) students at the University of Tennessee Knoxville (UTK). Almost certainly, I cannot hire a postdoctoral fellow. The positions should start in Fall 2022 or at the latest Spring 2023. One of the positions requires US citizenship.

 

All projects use Multiscale stochastic homogenization of materials using statistical volume elements (SVEs) to some extent.

 

Open PhD Position: AI-Assisted Computational Design of Materials

Submitted by soheilsoghrati on

The Automated Computational Mechanics Laboratory (ACML) at The Ohio State University has an open PhD position for a project focused on developing a novel framework relying on numerical techniques and artificial intelligence (AI) for modeling composites and biomaterials. Please check ACML website to get familiar with some of the ongoing research in this lab, focused on computational mechanics and cancer engineering.

One fully funded Ph.D. position in Bio-inspired Computational Mechanics and Machine Learning - Fall 2022

Submitted by David Cereceda on

The Multiscale Modeling of Materials and Machine Learning Laboratory (M4L Lab: https://www.m4l-lab.com/) at Villanova University is looking for one Ph.D. student. The successful applicant will work with Dr. David Cereceda on interdisciplinary research topics that involve Computational Mechanics, Bio-inspired materials, and Machine Learning. The position starts as early as Fall 2022. Evaluations will start immediately until the positions are filled. Please, see the description of each position below.

 

Postdoc position for a computational mechanician in the Computational Physics Group @ University of Michigan

Submitted by Krishna Garikipati on

The Computational Physics Group at the University of Michigan has an opening for a postdoctoral researcher in data-driven computational mechanics. This position can be available as early as July 1, 2022. Research in the Computational Physics Group is focused on developing data-driven, machine learning and some artificial intelligence approaches that interact with a range of computational methods for problems in materials physics, biophysics and in engineering more broadly.