Dear All,

Applications are invited for two PhD studentships in the Integrated Vehicle Health Management (IVHM) Centre, Cranfield University, in the field of prognostics and health management system. The research will be part of two EU projects. The aim of the projects will include the development of the key technologies of prognostics and health management solutions for different systems of large passenger aircrafts and its integration into an airline end-to-end maintenance operational context.

Many thanks,

Dr Zakwan Skaf

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We are looking for Machine Learning and/or Artificial Intelligence experts who have a passion for developing innovative data analytics solutions. This is a ground floor opportunity for candidates to work with industry leading Subject Matter Experts (SME) in developing next generation engineering analytics solutions for aerospace applications. You will work on projects that improve aircraft performance, increase operational efficiency of aircraft fleet operators and improve the travel experience of passengers.

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The PHM Society has announced a design challenge for load monitoring of
shackles. The challenge is open to everyone. Cash prizes will be offered
to winners. Deadline for submissions is October 10, 2015. A summary is
provided below. More details may be found at
http://www.phmsociety.org/events/conference/phm/15/design-challenge

In this design challenge, you will design a new wireless load
measurement system for industrial pin shackles (typical load capacities
are on the order of 5-10 tons). We are asking you to think outside the

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Company: 
PavCon, LLC
Date Posted: 
August 26, 2015
Contact: 
mpavlik@pavconllc.com

PavCon, LLC is looking to expand and is in need of engineers to support reliability and maintainability activities. Specific interest and experience working with various maintenance methodologies such as Reliability Centered Maintenance (RCM), Maintenance Steering Group, 3rd Version (MSG-3), Condition Based Maintenance (CBM), and CBM Plus (CBM+) is our need. If terms like FMECA, FRACAS, JRMET, Weibull analysis, prognostics, diagnostics, structural analysis, and predictive analytics are in your vocabulary, you may be the white glove fit we are seeking!

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For the Department of Mechanical Engineering, Production Engineering, Machine Design and Automation (PMA) Section we are looking for an (Electro-mechanical) engineer with strong background and interest in signal processing, blind source separation, measurements and vibroacoustic condition monitoring of complex rotating/reciprocating machinery.

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For the Department of Mechanical Engineering, Production Engineering, Machine Design and Automation (PMA) Section we are looking for an (Electro-mechanical) engineer with strong background and interest in signal processing, measurements and vibroacoustic condition monitoring/fault detection/diagnosis in mechanical structures.

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For the Department of Mechanical Engineering, Production Engineering, Machine Design and Automation (PMA) Section we are looking for an (Electro-mechanical) engineer with strong background and interest in signal processing, measurements and vibroacoustic condition monitoring/fault detection/diagnosis/prognostics in complex electromechanical systems.

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The department of Human Factors, Controls, and Statistics is looking for a summer graduate intern to work on monitoring, diagnosis, and prognosis research. During the internship, student will interact with a team of dynamic researchers and customers. Student will be developing diagnostic and prognostic models for large electric motors used in nuclear power plants.

Internship Duration: May 18, 2015 to August 15, 2015

Student with background in electrical, mechanical, nuclear, or related engineering field are encouraged to send their CV to Vivek Agarwal at vivek.agarwal@inl.gov.

  

Multiple Ph.D. scholarships are available at the Singapore University of Technology and Design (SUTD) for a highly qualified candidate in the field of prognostics and system health management (PHM). The candidate should have a relevant background in applied mathematics / statistics and be interested in applying different mathematical tools and techniques for real-time lifecycle prediction of engineering devices and systems in general.

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Data Scientist-Milwaukee WI
Responsibilities

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