Company: 
GE Global Research
Date Posted: 
September 19, 2018
Contact: 
asaxena@ge.com

Are you looking to make a meaningful impact? To solve real problems, many different skills need to come together. That is why we come together as a team to solve the toughest and most impactful industrial problems using latest technologies. If interested or curious, explore these positions open for GE Global Research's two locations Silicon Valley and New York based positions in AI & machine learning org - https://www.phmsociety.org/node/2597
Contact: Abhinav Saxena & Weizhong Yan - or meet us personally at the PHM18 conference

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I am looking for MASc students candidates at the University of Windsor to join my research team on DPHM research for analytical and data-driven approaches towards space and aerial applications of fault diagnosis and prognosis.

If interested contact me for more information.

http://www.uwindsor.ca/engineering/mame/441/afshin-rahimi

  

INRIA, APSYS-AIRBUS and NOKIA Germany are working together for a European funding project "EIT Digital- Industry 4.0"dedicated to predictive maintenance et more precisely to Root Cause Analysis.

The goal of the project is to develop a set of data-science methods, algorithms and plugins to enable manufacturers identify why and where a failure or anomaly occurred and ease dysfunctional goods reparation.

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An Inria spin-off, PAM is a software publisher dedicated to predictive maintenance for industry. On the strength of several collaborative ventures with large-scale industrial firms, we wish to continue developing a solution that integrates the latest R&D technologies and meets the needs of experts in the field.

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Company: 
NIO
Date Posted: 
June 1, 2018

The next generation computing platform will be the autonomous driving electric vehicle. With data from in-car sensors, a mobile internet connected car, increased computing power, and new user interfaces that support a seamless autonomous driving experience, they will dramatically improve our lives. After home and work, the car is where we spend the most time, and we will be working on making that experience pleasurable. NIO is much more than a car company.

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GIS conducts applied research in the area of sustainable manufacturing, and also provides technical assistance in a wide variety of areas to industry. We are looking for an engineer or scientist with a strong experimental and analytical background to support existing research programs in prognostics and health management (PHM), and data analytics. Our two primary application areas are transportation systems, including DoD systems, manufacturing equipment and processes, and embedded product monitoring.

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Company: 
PARC, a Xerox Company
Date Posted: 
March 5, 2018

Senior Researcher with PhD in Electrical, Mechanical Engineering or related fields with experience in prognostics, predictive analytics, diagnostics, image/data

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Company: 
SGT Inc.
Date Posted: 
February 25, 2018

NASA is actively involved in researching and developing validated tools, technologies, and techniques for automated detection, diagnosis and prognosis that enable mitigation of adverse events during flight for current and next generation aerospace systems. Adverse events include those that arise from system, subsystem, or component faults or failures due to damage, degradation, or environmental hazards that occur during flight.

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Company: 
PARC, a Xerox Company
Date Posted: 
December 21, 2017

Exciting internship opportunity available at PARC in System Analytics, Anomaly Detection, Failure Modeling, Monitoring, Prognostics, Diagnostics, and Action Recommendations

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One postdoctoral position is available at the Singapore University of Technology and Design (SUTD) for highly qualified candidate in the field of Failure Diagnosis, Prognostics and Health Management (PHM). The selected candidate should have a relevant background in applied mathematics / Bayesian statistics / industrial engineering / data analytics and be interested in applying different mathematical tools and techniques to real-time remaining useful life estimation of a wide variety of electronic and mechanical devices and systems, in general.

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