PhD in complex environmental systems
Joining: https://wwwfr.uni.lu/formations/fstm/doctoral_programme_in_computationa…
PhD candidate on Machine Learning applied to Critical Zone sciences
machine learning
Ph.D. Position at the Department of Mechanical Engineering at UNCC
Ph.D. positions are available at the Multiscale Material Modeling Lab at the University of North Carolina at Charlotte. The Ph.D. students will develop and use tools such as machine learning, finite elements, and molecular dynamics to study the mechanical properties of materials. Candidates with a strong background and interest in solid mechanics, programming, and computational solid mechanics are encouraged to submit their CV to atabarra [at] uncc.edu (atabarra[at]uncc[dot]edu).
PhD position in computational geomechanics and probabilistic methods at University of Cincinnati
Dr. Lei Wang’s research group at the University of Cincinnati (UC) is seeking two high-motivated and talented PhD students to be appointed as Graduate Assistants to conduct geotechnical engineering research in the Department of Civil and Architectural Engineering and Construction Management, beginning January 2023 or August 2023.
Defect-based Physics-Informed Machine Learning Framework for Fatigue Prediction
I would like to draw your attention to our recently proposed predictive method based on a semi-empirical model (LEFM) and Neural Network, exploiting the Physics-informed Machine Learning concept. We show how the accuracy of state-of-the-art fatigue predictive models, based on defects present in materials, can be significantly boosted by accounting for additional morphological features via Physics-Informed Machine Learning.
Webinar: Automated Segmentation and Design Workflows for Patient-Specific Surgical Guides
Join the Simpleware Product Group at Synopsys and nTopology for a webinar this month on automated segmentation and design workflows for patient-specific surgical guides.
Learn more and register for this free event here: https://register.gotowebinar.com/register/3232312822632785679?source=iM…
Drug repurposing for SARS-CoV-2: a high-throughput molecular docking, molecular dynamics, machine learning, and DFT study
Very excited to share newly minted #SARSCoV2 paper from Dr. Dibakar Datta's Lab at New Jersey Institute of Technology in Springer Nature Digital's
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=iM…
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.
As more researchers apply ML methods to problems in mechanics, I believe two methodological questions have become increasingly important:
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 [at] seas.ucla.edu). https://www.raynexzheng.com/