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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The Institute for Energy and Environment (Department of Electronic and Electrical Engineering) in collaboration with the Maritime Safety Research Centre (Department of Naval Architecture, Ocean and Marine Engineering) at the University of Strathclyde (Glasgow, Scotland, U.K.), offers a Ph.D. position in the area of prognostics and health management methods for reliability, availability, maintainability and safety (RAMS) of maritime systems.

PhD Research Description

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Company: 
Lockheed Martin
Date Posted: 
April 26, 2017
Contact: 
Roni Hendrickson - Roni.Hendrickson@lmco.com

Job Description
• Primary role is advanced member of the F-35 Prognostics & Health Management (PHM) Capability Integration Team as the Data Analytics Integrator.
• Primary responsibility is to lead the maturing of the F-35 PHM capability by understanding the aircraft systems/subsystems design, PHM design, actual PHM performance, and developing required corrective actions and automating team tools to improve efficiencies.

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Company: 
ALSTOM
Date Posted: 
April 19, 2017
Contact: 
diego.tobon@alstom.com or bertrand.chauchat@alstom.com

We are looking for a PhD who has defended his/her thesis in the domain of fault detection, diagnostics and/or prognostics. In addition to these latter skills, the candidate should have strong knowledge in electrical engineering (electrical machines) and signal processing. He/she has also to be good in setting experimental test benches (hardware and software) and possesses skills in programming (Matlab and Labview). Finally, the candidate should speak English fluently, intermediate French speaking would be appreciated.

1. Objective of the study

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Company: 
NIO
Date Posted: 
April 12, 2017

NIO, the maker of the world's fastest electric car, the EP9, is developing electric autonomous cars that will revolutionize the user experience. Join the Data Science team that underpins this vision by using data combined with physics/math/statistics and machine learning to develop algorithms for both personalization and logistics.

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We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

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