Experience:
No experience
Employment Type:
Full time
Posted:
1/10/2016
Job Category:
Engineering
System Failure Modeling, Monitoring, Prognostics, ...
(This job is no longer available)
Palo alto research center | Palo Alto, CA
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Job Description

Job Description

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

About the Job

PARC is working on innovative analytics projects within the Analytics for Condition Evaluation of System (ACES) research area to model failures in complex systems, monitor the health condition of devices, enabling accurate inferences about their state, and deliver recommendations for decision support. The analytics are focused on fusion of multiple sources of data from complex devices; fusion of physics-based modeling and machine learning approaches, system insight generation, and accurate "actionable" recommendations. The ACES research area is a growing group of researchers within PARC's System Sciences Lab, with world-class strengths in diagnostics, prognostics, fleet management, data analytics, model-based design and manufacturing of complex engineering systems. The work in ACES covers a broad range of technology maturity, from abstract algorithm formulation all the way down to embedded software implementation on physical hardware platforms that span various application domains such as intelligent transportation systems, manufacturing, energy, heavy machinery, power electronics, and cloud computing.

Responsibilities

- Assist in designing, developing, and delivering innovative approaches, algorithms, methods, and models as needed for system analysis, state monitoring, prediction, and recommendations

- Preprocessing data (data cleaning and feature extraction)

- Design simulation and deliver software prototypes

- Document/present findings and results

Requirements

- Graduate students or undergraduate students completed at least 3 years of study, in Computer Science, Electrical Engineering, Mechanical Engineering, or related fields

- Background in system modeling, monitoring, prognostics, diagnostics, machine learning, or optimization

- Experience with prognostics and health management (PHM) concepts, methods, and tools

- Hands-on software and algorithm development

- Familiarity with Python, Modelica, or Matlab is a plus

Benefits

We offer a very competitive salary package and full benefits (medical, dental, vision, life & disability insurance, 401K). PARC employees enjoy the use of onsite health & fitness center and collegial dining at our onsite cafeteria. The PARC campus is in a spacious modern building in close proximity to the resources and opportunities of Silicon Valley and benefits from nearby leading universities such as Stanford and Berkeley. It is also close to many amenities, top schools, and outdoor activities (see http://www.parc.com/about/culture.html). PARC provides a highly diverse environment and is proud to be an equal opportunity employer (see http://www.parc.com/about/careers/).

About PARC

PARC, a Xerox company, is in the Business of Breakthroughs®. Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients.

Since its inception, PARC has pioneered many technology platforms - from the Ethernet and laser printing to the GUI and ubiquitous computing - and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients' businesses.

PARC is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. People with disabilities who need a reasonable accommodation to apply or compete for employment with PARC should contact PARC Human Resources.

About Palo alto research center

PARC, a Xerox Corporation company (NYSE: XRX), collaborates with sponsors and clients to discover breakthrough business and technology concepts that solve real needs, and transform how enterprises deliver value to customers. PARC takes an agile, multidisciplinary approach to open innovation, by bringing together physical, computer, biological, and social scientists who have the vision, expertise and instinct to convert groundbreaking scientific findings into industrial-strength prototypes. Founded in 1970 as part of Xerox Research, then incorporated in 2002 as an independent research business, PARC is celebrated for innovations such as laser printing, distributed computing and Ethernet, the graphical user interface (GUI), object-oriented programming, and ubiquitous computing.