User login

You are here

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

Postdoctoral associate positions in virtual surgery at RPI

The Center for Modeling Simulation and Imaging in Medicine (CeMSIM) at Rensselaer Polytechnic Institute, Troy, NY , USA invites applications for postdoctoral associate positions to work on projects funded by the National Institutes of Health on developing simulation systems for surgery. The ideal candidate will develop the next generation real time surgical simulation technology based on advanced physics-based computational methods, robotic  systems and machine learning algorithms.

Requirements:

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: 8/1/2018

 

Job Description

h.yazdani's picture

MSc position in optimization at Howard University, Washington, DC

The Stout Infrastructure, Geotechnics, and Materials (SIGMa) Lab at Howard University, Washington, DC, invites applicants for a Master's position in optimization for Fall 2018. Highly-motivated, industrious individuals with a strong background in programming, geotechnics and structural analysis, adequate English proficiency, and the ability to work both independently and as part of a collaborative team are encouraged to apply.

Required qualifications 

mbessa's picture

[June 5 | USNC/TAM2018] Short-course on data-driven modeling in mechanics and materials science

Dear colleagues in academia and industry,

We are organizing the first short course on data-driven computational mechanics and materials science at the 18th US National Congress on Theoretical and Applied Mechanics (USNC/TAM) in Chicago on June 5th, 2018. See description of short-course SC007 in the following website: http://sites.northwestern.edu/usnctam2018/short-courses/

WaiChing Sun's picture

Last Call for Abstracts: EMI mini-symposium on Computational Geomechanics, Boston 5/29-6/1/2018 (abstracts due tomorrow)

MS27: Computational GeomechanicsWaiChing Sun, Columbia University
Jose Andrade, Caltech
Ronaldo Borja, Stanford University
Jinhyun Choo, University of Hong Kong
Majid Manzari, George Washington University
Richard Regueiro, University of Colorado Boulder

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: 12/01/2017

 

Job Description

mbessa's picture

MS1801 @ WCCM2018 -> Data-driven Methods and Applications: from Physics-informed Learning Machines to Optimization Under Uncertainty

Dear colleagues,

We encourage you to submit your abstracts to minisymposium 1801 of the 13th World Congress on Computational Mechanics (New York City, from July 22 to 27 of 2018). This minisymposium focuses on:

1. recently developed methods for data-driven approaches;

2. data-driven applications to fluids, structures and materials involving (but not limited to) machine learning, uncertainty quantification and/or optimization.

Is machine learning a research priority now in mechanics?

Hi all,

I  know that the study and application of machine learning/artificial intelligence are somehow popular nowadays, in a general academia. I happen to be interested in that. I found people use this tool to predict crystal structure in material science, to characterize molecule structure in chemistry. The first impression is that the machanince learning helps to deal with the raw data, to constitute empirical models etc. However, there are not as many published works as I imagine, on the application of machine learning in mechanics.

karelmatous's picture

A nonlinear manifold-based reduced order model

A new perspective on model reduction for nonlinear multi-scale analysis of heterogeneous materials. In this work, we seek meaningful low-dimensional structures hidden in high-dimensional multi-scale data.

karelmatous's picture

Predictive Multiscale Materials Modelling

Workshop on Predictive Multiscale Materials Modelling was held at the Isaac Newton Institute for Mathematical Sciences, University of Cambridge UK. Slides and videos of all presentations can be seen at the workshop website

Subscribe to RSS - machine learning

More comments

Syndicate

Subscribe to Syndicate