Diagnostics, Prognostics, and Data Analysis

Company: 
Palo Alto Research Center (PARC)
Date Posted: 
June 12, 2010
Contact: 
Serdar Uckun

We are seeking an applied research scientist in diagnostics, prognostics, data analysis, machine learning, or related fields to join a team of researchers developing innovative fleet management systems. The focus area is automated analysis of health and status data streams from a fleet of complex electromechanical systems. Applications may include trend detection, alerting, fault detection, fault prediction, remote diagnosis, and remaining useful life estimation.

The ideal candidate is a self-starter who can communicate with customers, elicit requirements, define and refine application concepts, and lead development teams to take ideas from the drawing board to prototype deployment. We are looking for someone with demonstrated leadership skills. This is NOT a fundamental research position: we are only looking for candidates who are interested in delivering results based on cutting edge diagnostics, prognostics, data analysis, and machine learning methods.

Responsibilities include:

· Work with stakeholders to understand customer needs for fleet management;
· Design, develop, and deliver innovative approaches, methods, and algorithms as needed;
· Make buy-versus-build decisions for platform software and hardware capabilities;
· Design and lead the development of software prototypes;
· Lead efforts to engage new customers and to develop new business opportunities, including proposal development.

Requirements include:

· Ph.D. or equivalent experience in Computer Science, Electrical Engineering, Mechanical Engineering, or related fields;
· At least five years of experience in diagnostics, prognostics, data analysis, or machine learning;
· Experience with prognostics and health management (PHM) concepts, methods, and tools;
· Strong presentation and written communication skills;
· Demonstrated leadership skills;
· Hands-on software and algorithm development;
· Commitment to developing quality software.

Other desired competencies include:

· Experience managing research or development teams;
· Experience with fleet management applications;
· Track record in raising research & development funding;
· Demonstrated business development skills.

  
 
 
 

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