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karelmatous's picture

A nonlinear data-driven reduced order model for computational homogenization with physics/pattern-guided sampling

Developing an accurate nonlinear reduced order model from simulation data has been an outstanding research topic for many years. For many physical systems, data collection is very expensive and the optimal data distribution is not known in advance. Thus, maximizing the information gain remains a grand challenge. In a recent paper, Bhattacharjee and Matous (2016) proposed a manifold-based nonlinear reduced order model for multiscale problems in mechanics of materials. Expanding this work here, we develop a novel sampling strategy based on the physics/pattern-guided data distribution.

mbessa's picture

PhD position @ TU Delft: Data-driven design of materials and structures

Advertising the first fully funded PhD position in my group: this position is for the more computationally/mathematically inclined. Goal: method development.

A "general audience" summary of a recent application of our work: https://www.youtube.com/watch?v=cWTWHhMAu7I

Details about the position: https://vacature.beta.tudelft.nl/vacaturesite/permalink/287309/?lang=en

vh's picture

Call for Abstracts: Numisheet 2020 mini symposium on “Challenges and Opportunities in Forming Aluminum”

The NUMISHEET conference series is the most significant international conference on the area of the numerical simulation of sheet metal forming processes. Within Numisheet 2020, we are organizing a mini symposium on “Challenges and Opportunities in Forming Aluminum”.

Jingjie Yeo's picture

Postdoctoral position in multiscale computational simulations in the J2 Lab for Engineering Living Materials

http://jingjieyeo.github.io/positions.html I am happy to announce that the website of the J2 Lab for Engineering Living Materials is now live! We're very excited to get cracking in Jan 2020 at the Sibley School of Mechanical and Aerospace Engineering in Cornell University, and we're hiring one postdoc experienced in multiscale computational simulations to kickstart our lab. Please visit our website for more details!

Haitao Zhang's picture

Full-Time Position in Schlumberger – Modeling and Simulation Engineer

Title: Modeling and Simulation Engineer
Category: Full-time position in industry
Employer: Schlumberger Technology Corporation
Location: United States, Texas, Sugar Land
Opening Date: 08/01/2019

To apply, please submit your resume and a list of 3 references to JShi2@slb.com.

Introduction

Zeliang Liu's picture

[July 28] USNCCM15 Short Course on Machine Learning Data-Driven Discretization Theories, Modeling and Applications

Dear Colleagues and Friends,

In this short course, we will introduce the participants to the latest efforts on data-driven methods for mechanical and material sciences. The course will cover topics on
1. mechanistic data-driven clustering methods, direct and reduced order modeling techniques,
2. physics-informed neural networks, multi-fidelity Gaussian processes,
3. deep material networks and multiscale material failure analysis.
Some benchmarks on nano-polymer composites, polymer matrix composites, additive manufactured alloys will be demonstrated. For more details, please visit the website, http://15.usnccm.org/sc15-005.

mbessa's picture

Postdoctoral position @ TU Delft

Dear colleagues,

Richard Norte and I are looking for a postdoctoral scholar with interest in machine learning and good knowledge on finite element analyses.

This project is focused on computational mechanics in collaboration with a strong group on opto-mechanical devices.

For more information please check the following link:

https://www.academictransfer.com/nl/54445/pd-next-generation-opto-mechan...

The Machine Learning as an Expert System

1.

To cut a somewhat long story short, I think that I can ``see'' that Machine Learning (including Deep Learning) can actually be regarded as a rules-based expert system, albeit of a special kind.

I am sure that people must have written articles expressing this view. However, simple googling didn’t get me to any useful material.

I would deeply appreciate it if someone could please point out references in this direction. Thanks in advance.

2.

Markus J. Buehler's picture

Postdoc positions at MIT available

We have one or more postdoc positions available, to be filled immediately, at MIT’s Laboratory for Atomistic and Molecular Mechanics, under the direction of Professor Markus Buehler. We are looking for postdocs in two broad areas, as described below. 

Position #1: Materials science modeling 

PhD positions in Controls are available at George Mason University

Applications are invited for PhD positions at the Algorithms in Medicine and Neuro-Technology Lab (AIMAN Lab) in the Department of Mechanical Engineering at George Mason University, Fairfax, VA. "Research" The AIMAN Lab pursues fundamental breakthroughs in biomedical cyber-physical systems.

PhD positions in Controls (ME Department) are available at George Mason University

Applications are invited for PhD positions at the Algorithms in Medicine and Neuro-Technology Lab (AIMAN Lab) in the Department of Mechanical Engineering at George Mason University, Fairfax, VA. "Research" The AIMAN Lab pursues fundamental breakthroughs in biomedical cyber-physical systems.

Urgent: 2 fully-funded PhD theses at Synopsis (Exeter) / Cardiff University / University of Luxembourg in machine learning/biomedical simulations/3D medical image processing

Synopsys NE Ltd (https://www.synopsys.com/simpleware.html), Cardiff University and University of Luxembourg invites applications for 2 Early Stage Researcher position (Doctoral Candidate) as part of the Rapid Biomechanics and Simulation for Personalized Clinical Design (RAINBOW) MCSA European Training Network. RAINBOW is funded under the European Union’s Horizon 2020 research and innovation program.
 

PhD positions in Control are available at George Mason University, ME Department

Applications are invited for PhD positions at the Algorithms in Medicine and Neuro-Technology Lab (AIMAN Lab) in the Department of Mechanical Engineering at George Mason University, Fairfax, VA. "Research" The AIMAN Lab pursues fundamental breakthroughs in biomedical cyber-physical systems.

PhD positions in Controls/Machine Learning at George Mason University

<p class="MsoNormal" style="text-align: center;" align="center"><span style="text-align: start;">Applications are invited for PhD positions at the Algorithms in Medicine and Neuro-Technology Lab (AIMAN Lab) in the Department of Mechanical Engineering at George Mason University, Fairfax, VA. "Research" The AIMAN Lab pursues fundamental breakthroughs in biomedical cyber-physical systems.

PhD positions at George Mason University, ME Department (Controls in brain-computer interface & healthcare)

Applications are invited for PhD positions at the Algorithms in Medicine and Neuro-Technology Lab (AIMAN Lab) in the Department of Mechanical Engineering at George Mason University, Fairfax, VA.

Research
The AIMAN Lab pursues fundamental breakthroughs in biomedical cyber-physical systems. The lab’s primary research focuses on application of mathematical modeling, controls and estimation theory, and machine learning in health information technology including decision support and automated care systems, with the intention of improving the quality of healthcare, as well as brain-computer interfaces to bring neuro-enhancements to the daily consumer.

Application
Interested researchers with passion in digital healthcare and neuroscience are encouraged to send their CV to Dr. Ramin Bighamian at rbighami@gmu.edu.

Qualification
Experience in controls engineering, estimation theory, machine learning, MATLAB
A Master's degree in mechanical engineering, electrical engineering, or other related disciplines.

PhD positions in Controls are available at George Mason University

<p>Applications are invited for PhD positions at the Algorithms in Medicine and Neuro-Technology Lab (AIMAN Lab) in the Department of Mechanical Engineering at George Mason University, Fairfax, VA. "Research" The AIMAN Lab pursues fundamental breakthroughs in biomedical cyber-physical systems.

MehdiAmiri's picture

Ph.D. Positions Available in Mechanical Engineering at George Mason University

Ph.D. positions are available in Mechanical Engineering Department at George Mason University. Candidates should have strong background in computational solid mechanics and materials engineering and be willing to perform experimental work when needed. Experience in data analytics and machine learning is highly advantageous. Interested candidate may send CV and interest letter to mamirida@gmu.edu.

Harold S. Park's picture

Designing Highly Stretchable Kirigami Using Machine Learning

https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.121.255304

Accelerated Search and Design of Stretchable Graphene Kirigami Using Machine Learning

P.Z. Hanakata, E.D. Cubuk, D.K. Campbell and H.S. Park

Faculty Position - Department of Electrical Engineering - Stanford University

The Department of Electrical Engineering at Stanford University (http://ee.stanford.edu/) invites applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of electrical and computer engineering. The department is especially interested in candidates in robotics, autonomous systems, embedded systems, signal processing, control, optimization, and machine learning.

Faculty Position - Department of Electrical Engineering - Stanford University

The Department of Electrical Engineering at Stanford University (http://ee.stanford.edu/) invites applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of electrical and computer engineering. The department is especially interested in candidates in robotics, autonomous systems, embedded systems, signal processing, control, optimization, and machine learning.

20 PhD students in Data-driven Computational Modelling

Dear colleagues, 

Luxembourg FNR is funding 20 PhD students 

https://driven.uni.lu/

Please contact the principal investigators. See attachment.

Regards,

Stéphane P.A. BORDAS

http://legato-team.eu/

Haitao Zhang's picture

Full-Time Position in Schlumberger – Modeling and Simulation Engineer

Intro

Schlumberger has an opening in Sugar Land, Texas for a Modeling and Simulation Engineer. The Modeling and Simulation Engineer will be responsible for developing digital representations (or twins) of physical assets or processes to produce business outcomes. You will need to work seamlessly with a multidisciplinary team and present project progress to various internal and external clients.

 

Responsibilities

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