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Jaafar El-Awady's picture

Postdoc Position in machine learning informed materials design at Johns Hopkins University

I am seeking a motivated and qualified postdoctoral fellow with expertise in the field of machine learning (ML)-informed materials design. In particular, the postdoctoral fellow will work closely in collaboration with other experimentalists and modelers within the newly established AI for Materials Design (AIMD) facility at JHU for the design of new refractory multi-principal-element alloys (RMPEAs) by identifying their processing-structure-property-performance relationships for high-strain-rate and high-temperature-rate applications.

Webinar: AI Medical Image Segmentation with Simpleware Software: A Solutions Overview

Synopsys are running a webinar this month on using AI medical image segmentation in Simpleware software to scale-up patient-specific workflows, save time, and free up staff resources. Highly recommended if you haven't yet had a chance to review the tools in Simpleware software.

Register here: https://register.gotowebinar.com/register/4951806069167092496?source=iMe...

elejeune's picture

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

 

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figure from a slide that I made in early 2020 referencing a few examples from the literature — already this slide feels out of date!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. 

raynexzheng's picture

Ph.D/postdoc position in architected metamaterials at Berkeley

We have new postdoc/Ph.D opening immediately in the broad area of architected metamaterials. Candidates who have prior experience in the mechanics of architected materials, machine learning/optimizations and interests in applying various additive manufacturing techniques developed in our lab is especially encouraged to reach out to us (email: rayne@seas.ucla.edu). https://www.raynexzheng.com/

Harley T. Johnson's picture

Postdoc positions in computational science at UIUC

Two postdoc positions in computational science are available at UIUC in the research group of Prof. Harley T. Johnson in the Department of Mechanical Science and Engineering and the Materials Research Lab.  

Boyang Chen's picture

4 fully-funded PhDs in TU Delft on Aerospace, Machine Learning and Quantum Computing

4 fully-funded PhDs are available in Delft University of Technology under the joint supervision of researchers from the Faculty of Aerospace Engineering and the Faculty of Electrical Engineering, Mathematics and Computer Science. We will explore the exciting interdisciplinary areas of Quantum Computing and M

Zhangxian Yuan's picture

Fully funded Ph.D. positions available at Worcester Polytechnic Institute

Two funded Ph.D. positions in the broad area of computational mechanics are available in Dr. Yuan’s research group (https://wp.wpi.edu/yuan/) at the Aerospace Engineering Department at Worcester Polytechnic Institute. Self-motivated individuals with research experience/ strong passion in ONE or more of the following areas are strongly encouraged to apply,

Meredith N. Silberstein's picture

Call for Abstracts - SEM, due Oct 18th

Dear Colleagues,

The deadline for abstract submission to the Society for Experimental Mechanics (SEM) International Congress & Exposition on Experimental and Applied Mechanics (June 13–16, 2022 | Pittsburgh, PA, USA) is October 18th. Please note that this is already the extended deadline. The call for papers is attached. You can submit your abstracts here.

Ying Li's picture

Multiple Postdoc and PhD Open Positions in Polymer Modeling and Machine-Learning at University of Connecticut

Postdoc Open Positions

Postdoc positions with financial support (up to 3 years) are immediately available in the Department of Mechanical Engineering, University of Connecticut (UConn).

Required Degree:

Ph.D. in Engineering Mechanics, Chemical, Mechanical, or Civil Engineering, Material Science, Condense Matter Physics, or Computational Chemistry.

mkasemer's picture

PhD Position - Computational Crystal Plasticity

The Advanced Computational Materials Engineering Laboratory (ACME Lab), in the Department of Mechanical Engineering at The University of Alabama is seeking qualified candidates for an open PhD position. This position is open to US citizens only.

jenda_z's picture

Ph.D. position in physics-informed machine learning for smart materials

Ondřej Rokoš, Vlado Menkovski, and Marc Geers (all from the Eindhoven University of Technology), together with Martin Doškář (Czech Technical University in Prague), are searching for a motivated Ph.D.

h.yazdani's picture

One PhD position in multiscale simulation and characterization of polymer composites at Howard University, Washington, DC

The Sustainable Infrastructure, Geotechnics, and Materials (SIGMa) Lab at Howard University invites applicants for a Ph.D. position in multiscale simulation and characterization of polymer composites starting January 2022. Highly motivated individuals with strong computational, machine learning, microscopy and communication skills are encouraged to apply.

 

Responsibilities

skumaar's picture

Lecturer/Senior Lecturer/Reader Position in Multiscale Modelling at the University of Glasgow-James Watt School of Engineering

We are now seeking to fill an academic position at Lecturer/Senior Lecturer/Reader rank for a successful academic to join the Division of Systems, Power and Energy Engineering. We specifically seek a candidate who can potentially contribute to the James Watt School of Engineering in the area of modelling of materials and/or processes at lower length scales where continuum assumption ceases to be valid.

Webinar: Simpleware R-2021.03 Release: Highlights of New and Improved AI-Powered Tools

Check out this webinar on the AI-enabled segmentation and landmarking tools in the latest release of Simpleware software - ideal if working with orthopedic and cardiology medical image data and you want to speed up tedious segmentation.

Registration is here: https://register.gotowebinar.com/register/2163352213172894476?source=IMe...

 

WaiChing Sun's picture

MS Invitation "Multiscale Machine Learning for Geotechnical and Geophysics and Geomechanics Applications: from Grain- to Field-scales" @IACM conf. MMLDT-CSET 2021

Dear Colleagues,

We would like to invite you to submit an abstract to the symposium on Multiscale Machine Learning for Geotechnical and Geophysics and Geomechanics Applications: from Grain- to Field-scales at the MMLDT-CSET 2021 conference, September 26-29:

PhD opening in Computational Mechanics and Optimisation at University of Technology Sydney, Australia

The project “Computational mechanics and optimisation for energy absorption of materials” is calling for applications for PhD scholarship commencing in 2021. This project is funded by the Australian Research Council Discovery Early Career Researcher Award. Candidates with knowledge and research experience in computational mechanics, design optimisation and machine learning are encouraged to apply.

 

Project description:

Call for Papers: Special Issue on Advances in Integrated Digital Engineering Applications

Dear Colleagues,

I'm current guest editor on a Special Issue of the MDPI Journal of Applied Sciences. This is a journal with an impact factor of 2.474.

The aim of this Special Issue is to explore the re-engineering of engineering through the integration of advanced digital technologies. Research papers or case studies involving any discipline of engineering are welcome. Topics may include, but are not limited to, the following:

University Lectureships in Mechanics and Materials (x 2) - Cambridge

Applications are invited for two University Lectureships in Mechanics and Materials Engineering, to be known as the 'Granta Design University Lectureships in Engineering'.

Julian J. Rimoli's picture

New article on inelastic homogenization through machine learning

I would like to share another article from my group just published in CMAME. I think this is an interesting approach towards the automatic generation of constitutive laws for arbitrary microstructures:

https://authors.elsevier.com/a/1bxlSAQEIt1ls

The article focuses on how to systematically create constitutive laws using only:

1) Available microstructural models

2) Machine learning techniques

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