Xerox Jobs

Job Information

Xerox Physics Based Modeling - - 23203 in Ref #20009905,

Physics Based Modeling at created 20-Nov-2020"/>

Skip to content

Xerox at


Physics Based Modeling

General information

Country: United States

Department: R&D, Computer Science & Engineering

Date: Friday, November 20, 2020

Working time: Full-time

Ref#: 20009905

Job Level: Individual Contributor

Job Type: Graduate Job

Job Field: R&D, Computer Science & Engineering

Description & Requirements

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 seeking an applied research scientist in the area of physics-based modeling, control, machine learning, diagnosis and optimization. The ideal candidate will have both strong mathematical and algorithmic skills as well as strong implementation skills, with experience developing mathematically principled solutions to challenging problems. Projects include continuing work with various government agencies (e.g., DARPA, DOE, NIST) and Xerox funded AI technology in Digital Design and Manufacturing, IoT, and AI applications.

Responsibilities :

  • Participate in research projects as an expert in their field, with a willingness to stretch and learn to fulfil other roles as needed

  • Research, design, develop, and implement innovative approaches, methods, and algorithms

  • Work with internal and external collaborators to formulate problems and define requirements

  • Develop research plans and write proposals

  • Contribute to projects within PARC in physics-based modeling, diagnosis and control

Requirements :

  • Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related discipline

  • Demonstrated expertise in physics-based modeling and simulation, control, machine learning, and optimization (both traditional and AI-inspired), e.g. strong publication record

  • Ability and background to model diesel engines is highly desired

  • Demonstrated implementation skills, including expertise in Python and Matlab.

  • Knowledge of Modelica is a plus

  • Research mindset and ability to contribute to writing proposals

  • Self-starting: Can work independently within a multi-disciplinary team

  • Experience in reading scientific papers and replicating methods

  • Familiarity with modern software tools and practices

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 or expression, 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 at and explore our commitment to diversity and inclusion! at People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox may request such accommodation(s) by sending an e-mail to Be sure to include your name, the job you are interested in, and the accommodation you are seeking. © 2020 Xerox Corporation. All rights reserved. Xerox® and Xerox and Design® are trademarks of Xerox Corporation in the United States and/or other countries.


Share this job:

  • Share Physics Based Modeling with Facebook

  • Share Physics Based Modeling with LinkedIn

  • Share Physics Based Modeling with Twitter

  • Share Physics Based Modeling with a friend via e-mail

  • Print page