Job Postings

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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