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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You set up research projects with top companies in Flanders to develop autonomous machines, robots and vehicles. You and your team execute the projects by modeling the system design, the controller and testing and validating the autonomous systems in the brand new lab infrastructure.

Flanders Make researchers help manufacturing companies in making high-performance, flexible and autonomous machines, robots and vehicles, f.e. by rethinking the entire system architecture using a variety of (beyond) state-of-the art technologies.

Develop intelligent, self-learning supervisory controllers

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Company: 
PARC, a Xerox Company
Date Posted: 
January 17, 2017

Internship opportunity available at PARC in System Failure Modeling, Monitoring, Prognostics, Diagnostics, and Action Recommendations

PARC’s System Sciences Lab (SSL) is unlike any organization in the world. Combine the best of an esteemed research organization, a top notch university, an entrepreneurial startup, and a premiere technology company and you get SSL, a team that melds its world-class innovation chops with a focus on researching and developing real world applications that have market potential.

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Company: 
PARC, a Xerox Company
Date Posted: 
January 2, 2017

Exciting Opportunity for Senior Researchers in Condition-Based Maintenance and Systems Management Technologies at PARC, a Xerox Company in Palo Alto, CA.

Senior Researcher with PhD in Electrical, Mechanical Engineering or related fields with experience in prognostics, predictive analytics, diagnostics, image/data analysis, machine learning or control systems.

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The aim of this project is develop an advanced framework that integrates the capability of automatic feature learning provided by machine learning with the physics-based and the domain knowledge-based feature selection methods.

If you are eligible to apply for this research studentship, please complete the online application form which can be found at:

https://www.cranfield.ac.uk/research/phd/intelligent-feature-extraction-and-selection-framework-for-fault-diagnosis-and-prognosis

Many thanks,

Dr Zakwan Skaf

IVHM Centre
Cranfield University

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You set up research projects with top companies in Flanders and investigate how to increase the intelligence of their products (machines/vehicles).

For companies manufacturing smart and highly automated machines and vehicles, Flanders Make conducts technological research to strengthen the companies’ product and process innovation. Flanders Make researchers help companies in making high-performance, flexible and autonomous machines and vehicles by;
- creating simulation models of the machine’s/vehicle’s behaviour;

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