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Xerox Research Scientist, Physics-Based Modeling in North Carolina

Research Scientist, Physics-Based Modeling

General information

City: Palo Alto, Cary

State/Province: California, North Carolina

Country: United States

Department: Research & Development

Date: Friday, March 5, 2021

Working time: Full-time

Ref#: 20010681

Job Level: Individual Contributor

Job Type: Experienced

Job Field: Research & Development

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 a Research Scientist with deep expertise in CAD/CAE, system modeling, and interoperable part and assembly-level analysis and design. The ideal candidate will have strong fundamental (theoretical and computational) background, mathematical and algorithmic skills, implementation skills, and experience formulating problems and developing principled solutions. The Research Scientist will work on ongoing projects funded by Xerox, government agencies (e.g., DARPA, ARPA-E, and NIST), national labs and industrial partners, on a range of topics including digital design and manufacturing software and hardware technologies, process modeling and simulation, hybrid (additive and subtractive) manufacturing, design for assemblies, design for manufacturing, and physics-informed AI. The candidate should be comfortable with geometry- and physics-based model development, dynamical systems, control theory, and CAD/CAE.

In the short-term, the projects will require developing consistent part- and assembly-level models and interoperable representations for mechanical systems design, all of which require an understanding of both system-level (e.g., lumped parameter) models and component-level (e.g., spatiotemporal physics) models and their integration in computational settings. Responsibilities may include one or more of the following: Mathematical modeling, discretization, and analysis of ODE/PDE/DAE systems, combinatorial network models (e.g., in Modelica or Simulink), and spatiotemporal CAD/CAE representations, and developing interoperability protocols.


  • Participating in fundamental and applied research, including mathematical formulation, analytical or numerical solutions, and validation.

  • Leading or contributing to conference and/or journal papers and invention disclosures.

  • Implementing good-quality computer code (research-grade software prototypes).

  • Supporting software engineers in transforming research prototypes into commercial-strength products.


  • Ph.D. in Mechanical Engineering, Electrical Engineering, Systems Engineering, Computer Science/Engineering, Physics, Applied Math, or related discipline.

  • At least four years of academic research experience as a Graduate/Research Assistant in an ongoing higher-education (Master’s or Ph.D.) program.

  • Demonstrated expertise in both component-level and system-level mechanical design.

  • Experience with inter-disciplinary research for physics-based modeling and computing.

  • Familiarity with at least one programming language (e.g., Python or C++)

  • Familiarity (or ability to quickly learn) CAD/CAE software (e.g., COMSOL or ANSYS) and system modeling software (e.g., Modelica or Simulink).

  • Demonstrated experience with research-grade publications.

Desirable Technical Skills:

  • Related industrial, corporate, or entrepreneurial experience is a plus but not required.

  • Experience with additive manufacturing or energy management systems is a plus.

  • Experience with parallel computing (CPU/GPU), machine learning, computational physics, or combinatorial topology is a plus.

Desirable Personal Skills:

  • Independence in problem formulation and creativity in problem solving.

  • Attention to detail and ability to manage multiple projects simultaneously.

  • Eagerness to learn new technologies and applying fundamental research to solve real-world problems with commercial potential.

  • Strong organizational and inter-personal skills.

  • Strong communication (oral and written) skills.

  • Candidates are encouraged to upload (a) a one-page research statement outlining their research accomplishments, current activities, and future directions; (b) a technical writing sample (e.g., a first-authored paper); and (c) a letter of recommendation from a technical supervisor.

Xerox is an Equal Opportunity Employer and considers applica nts 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 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 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.

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