Conferences

PHME20

Turin, Italy
1 – 3 July 2020

PHM20

Nashville, Tennessee, USA
28 September – 1 October 2019

Attention and Long Short-Term Memory Network for Remaining Useful Lifetime Predictions of Turbofan Engine Degradation
Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak    Read
Deep Detector Health Management under Adversarial Campaigns
Javier Echauz, Keith Kenemer, Sarfaraz Hussein, Jay Dhaliwal, Saurabh Shintre, Slawomir Grzonkowski, Andrew Gardner    Read
Towards Developing a Novel Framework for Practical PHM: a Sequential Decision Problem solved by Reinforcement Learning and Artificial Neural Networks
Luca Bellani, Michele Compare, Piero Baraldi, Enrico Zio    Read
Simulation-driven Deep Classification of Bearing Faults from Raw Vibration Data
Martin Hemmer, Andreas Klausen, Huynh van Khang, Kjell G. Robbersmyr, Tor I. Waag    Read
  
Company: 
Palo Alto Research Center (PARC, a Xerox Company)
Date Posted: 
February 12, 2020

PARC Internship in System Analytics, Anomaly Characterization, System Modeling, Monitoring, Prognostics, Diagnostics, and Planning - Palo Alto, CA, USA

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Company: 
Cranfield University, UK
Date Posted: 
February 12, 2020
Contact: 
Ian Jennions, i.jennions@cranfield.ac.uk

Cranfield University’s Integrated Vehicle Health Management Centre (IVHM) was established in 2008 between Boeing, Cranfield, and a number of other highly regarded aerospace companies (including BAE Systems, Rolls-Royce, Meggitt and Thales). The Centre is now globally recognised, having defined the subject area and developed its capability on several fronts. The development of the Centre, along with two other areas in the University, significantly contributed to the recent £65m DARTeC (Digital Aviation Research and Technology Centre) proposal success.

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Company: 
NVIDIA
Date Posted: 
February 10, 2020
Contact: 
Ed Alfriend (ealfriend@nvidia.com)

* Develop Industrial and PdM ecosystem for the defense and aerospace community with cross functional team: Product, Engineering, Applied Research, Marketing, and Sales
* Lead and develop strategic relationship with key startups, OEMs, ISV’s, and leading industries’ developers
* Know all NVIDIA GPU / AI computing platforms from datacenter to edge and effectively articulate the value proposition to the sustainment developer community
* Drive adoption of NVIDIA SDK’s into developer products
* Funnel relevant startups to participate in NVIDIA Inception program

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Company: 
University of Strathclyde
Date Posted: 
February 10, 2020
Contact: 
sofia.koukoura@strath.ac.uk

EngD in the new EPSRC Centre for Doctoral Training in Wind and Marine Energy Systems and Structures at the University of Strathclyde collaborating with Natural Power.

Developing Future Leaders in Wind and Marine Renewable Energy:

A new Centre for Doctoral Training (CDT) at the University of Strathclyde will train researchers to EngD and PhD level in wind and marine energy. Funded by the Engineering and Physical Sciences Research Council (EPSRC), a total of 70 PhD students will be recruited for four years of training and research.

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This PhD Position is funded by the Marie Curie program of the European Union through the innovative training network (ITN) “GW4SHM” on Guided Waves for Structural Health Monitoring.
-Job Location: Safran Group - Safran Tech - Paris Saclay: Safran Sensing System Department-Rue des jeunes bois Châteaufort - CS 80112, 78772 Magny-les-Hameaux Cedex-France
-Contact: Dr. Rafik HADJRIA. Email: rafik.hadjria@safrangroup.com
-Doctoral School: Delft University of Technology-Faculty of Aerospace Engineering-Department of Aerospace Materials and Structures
-PhD Subject Description

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The Marie Skłodowska-Curie Actions Innovative Training Network (H2020-MSCA-ITN-2019-859957) “Intelligent Prognostics and Health Management in Composite Structures” (ENHAnCE) invites applications for 10 early-stage research (ESR) positions available with a starting date in the period June 1st –Sept 1st 2020 for a period of three years.

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Job Description

The data scientist hired into this position will work with the consultant
and product teams to primarily assist in the development of predictive monitoring and predictive quality models for various industrial and manufacturing applications. In developing these models, the data scientist will employ pre-processing techniques, feature extraction, anomaly detection, supervised regression and classification methods.

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Offshore renewable energy technologies have the potential to support traditional renewable energy sources and contribute to the energy mix in the short-medium term. Wave energy is an emerging area among the offshore renewable energy systems, where the motion of ocean waves is converted into electricity. Different technologies have been suggested [1], but all include different components to convert mechanical energy into electricity [2,3], which have a significant impact on the final performance and maintenance of the wave energy devices.

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Idaho National Laboratory is seeking a Postdoctoral Research Associate in a Nuclear, Electrical, Mechanical, Computer Engineering or related field for the Instrumentation, Controls, and Data Science Department.

You will be working on the project funded by different U.S Department of Energy programs that include, Light Water Reactor Sustainability Program, Nuclear Energy Enabling Technology Program, and others.

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Company: 
General Motors R&D
Date Posted: 
September 23, 2019
Contact: 
Yilu Zhang, yilu.zhang@gm.com

GM R&D is hiring!

About GM

There’s never been a more exciting time to work for General Motors.

To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

Why work for us

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In Memoriam

Dr. Myeongsu (Kay) Kang

Dr. Myeongsu Kang passed away unexpectedly Saturday, July 28, at his home. He was 38 years old. Dr. Kang was a member of the Center for Advanced Life Cycle Engineering (CALCE) at the University of Maryland.

Dr. Kang received B.E. and M.S. degrees in computer engineering and information technology and a Ph.D. in electrical, electronics, and computer engineering from the University of Ulsan, South Korea. When he joined CALCE in September 2015, he brought expertise in data analytics, machine learning, system modeling, and statistics that he applied to research in prognostics and health management (PHM). Dr. Kang published more than 60 journal papers in the field of PHM and high-performance multimedia signal processing. He recently finished editing a book on electronics PHM that will be published shortly. He also developed and taught a course on PHM.

Kay is survived by his wife Yeoung-Seon and two sons, Matthew and Mark.


Bruce Wallin

Senior Fellow, UTC Aerospace Systems
Mar 22, 1959 – Apr 28, 2018

The PHM Community has lost a dear friend and colleague. Bruce Wallin passed away suddenly on April 28 at the age of 59.

Bruce was an active member and contributor to the PHM Society and to the MFPT Society. He was a recognized world expert in rotating and torsional dynamics. He developed numerous dynamic design tools and created novel experimental methods in support of the design, development, and troubleshooting of aircraft products. His colleagues described him as smart, helpful, expert, good listener, invaluable, and “a little bit of a hippy.” Just four days prior to his death, Bruce was recognized as a Senior Fellow in his long tenure of excellence as a technical expert, mentor, and teacher.

 
 
 

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