Phmsociety
Prognostics and Diagnostics Engineer at Xerox PARC
Phmsociety, Palo Alto, California, United States, 94306
Overview
PARC is incubating a new software venture in the Industrial Internet of Things (IIoT) space, based on industry-leading technology developed at PARC. Building on a world-class group of scientists and engineers with decades of experience in system health monitoring, the new venture has ambitions to redefine how industrial equipment is managed.
Position Predictive Maintenance (PdM) Engineer who will be responsible for developing methods and models for anomaly detection, diagnostics, and prognostics of chemical process or plant equipment failure using streaming sensor data from industrial equipment as input. Reporting to the Chief Science Officer, the PdM Engineer will be responsible for developing mathematical models of chemical processes for real-time parameter estimation and process optimization.
Responsibilities
Develop physics-based models of assets used in a wide range of industrial environments, primarily in the chemical industry, for anomaly detection, diagnostics, or prognostics of asset or process failure.
Interact with clients in the chemical (pharma/O&G/process) industry to understand operational issues, formulate potential solutions, and implement novel tools to address client concerns.
Oversee deployment and commissioning of solutions at process plants.
Collaborate in a multi-disciplinary team of Mechanical, Chemical engineers, Computer Scientists and algorithm designers; contribute experience in developing algorithms for production environments.
Collect, clean and analyze historical and new data from industrial equipment.
Identify needs for additional data collection and sensor deployment, including selection and placement of suitable sensors to meet model and algorithm requirements.
Build end-to-end production algorithms for asset anomaly detection, diagnostics, and prognostics, and for process optimization.
Build physics-based models that represent equipment behavior under nominal conditions and under various degradation modes.
Build reproducible tests for proposed models/algorithms.
Develop end-to-end algorithms for anomaly detection, diagnostics, prognostics, and process optimization.
Innovate with creative approaches to algorithms that significantly impact performance metrics.
Work in close collaboration with software engineering to deliver production-grade code ready for industrial implementation.
Requirements
Advanced degree (Ph.D. preferred) in Engineering (Chemical, Mechanical, Electrical, …), Applied Physics, Computer Engineering or similar from a recognized university.
5+ years of experience working as a Process Engineer designing, developing, and troubleshooting chemical processes.
Experience as contributor on a range of projects with a track record of delivering mature component degradation models and algorithms.
Excellent communication skills – Able to articulate analysis and methodologies clearly and communicate insights in an accessible way to the team.
Ability to conceive of solutions that have not been previously defined.
Ability to write code in Python.
Experience working with large real-time data streams.
Location and Travel The primary job location is Palo Alto, CA. The position will require occasional travel (up to 20%), mostly within North America. Remote work (including East Coast or Midwest locations) is negotiable for experienced candidates with demonstrated skills in managing complex projects without direct supervision.
Equal Opportunity Xerox is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, sex, marital status, sexual orientation, physical or mental disability, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. Learn more at www.xerox.com and explore our commitment to diversity and inclusion. People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox may request such accommodations by sending an email to XeroxStaffingAdminCenter@xerox.com. 2020 Xerox Corporation. All rights reserved. Xerox and Xerox Design are trademarks of Xerox Corporation in the United States and/or other countries.
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Position Predictive Maintenance (PdM) Engineer who will be responsible for developing methods and models for anomaly detection, diagnostics, and prognostics of chemical process or plant equipment failure using streaming sensor data from industrial equipment as input. Reporting to the Chief Science Officer, the PdM Engineer will be responsible for developing mathematical models of chemical processes for real-time parameter estimation and process optimization.
Responsibilities
Develop physics-based models of assets used in a wide range of industrial environments, primarily in the chemical industry, for anomaly detection, diagnostics, or prognostics of asset or process failure.
Interact with clients in the chemical (pharma/O&G/process) industry to understand operational issues, formulate potential solutions, and implement novel tools to address client concerns.
Oversee deployment and commissioning of solutions at process plants.
Collaborate in a multi-disciplinary team of Mechanical, Chemical engineers, Computer Scientists and algorithm designers; contribute experience in developing algorithms for production environments.
Collect, clean and analyze historical and new data from industrial equipment.
Identify needs for additional data collection and sensor deployment, including selection and placement of suitable sensors to meet model and algorithm requirements.
Build end-to-end production algorithms for asset anomaly detection, diagnostics, and prognostics, and for process optimization.
Build physics-based models that represent equipment behavior under nominal conditions and under various degradation modes.
Build reproducible tests for proposed models/algorithms.
Develop end-to-end algorithms for anomaly detection, diagnostics, prognostics, and process optimization.
Innovate with creative approaches to algorithms that significantly impact performance metrics.
Work in close collaboration with software engineering to deliver production-grade code ready for industrial implementation.
Requirements
Advanced degree (Ph.D. preferred) in Engineering (Chemical, Mechanical, Electrical, …), Applied Physics, Computer Engineering or similar from a recognized university.
5+ years of experience working as a Process Engineer designing, developing, and troubleshooting chemical processes.
Experience as contributor on a range of projects with a track record of delivering mature component degradation models and algorithms.
Excellent communication skills – Able to articulate analysis and methodologies clearly and communicate insights in an accessible way to the team.
Ability to conceive of solutions that have not been previously defined.
Ability to write code in Python.
Experience working with large real-time data streams.
Location and Travel The primary job location is Palo Alto, CA. The position will require occasional travel (up to 20%), mostly within North America. Remote work (including East Coast or Midwest locations) is negotiable for experienced candidates with demonstrated skills in managing complex projects without direct supervision.
Equal Opportunity Xerox is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, sex, marital status, sexual orientation, physical or mental disability, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. Learn more at www.xerox.com and explore our commitment to diversity and inclusion. People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox may request such accommodations by sending an email to XeroxStaffingAdminCenter@xerox.com. 2020 Xerox Corporation. All rights reserved. Xerox and Xerox Design are trademarks of Xerox Corporation in the United States and/or other countries.
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