Xerox Member of The Research Staff, Artificial Intelligence in North Carolina
Member of The Research Staff, Artificial Intelligence
City: Palo Alto, Cary
State/Province: California, North Carolina
Country: United States
Department: Research & Development
Date: Thursday, March 18, 2021
Working time: Full-time
Job Level: Individual Contributor
Job Type: Experienced
Job Field: Research & Development
Description & Requirements
PARC is looking for an exceptional candidate who can contribute to the theory and practice of the design of cyberphysical (combination of mechanical, electrical, software, …) systems. We are particularly interested in research which takes a description of a desired function and outlines a plan for the manufacture of an assembly of custom and off-the-shelf parts to achieve this function. The custom parts may be constructed through additive or subtractive methods. 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. The candidate will be working in a team of over a dozen researchers in AI and Design.
Research, design, develop, and implement innovative approaches, methods, and algorithms.
Publish results in conferences and file patents
Work with internal and external collaborators to formulate problems and define requirements
Develop research plans and write proposals
Contribute to projects within PARC utilizing 3D manufacturing technology
Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Engineering, Artificial Intelligence, or related discipline
A typical candidate would have a Ph.D. in Artificial Intelligence with extensive knowledge of engineering, or aa Ph.D. in Mechanical Engineering with extensive knowledge of Artificial Intelligence (both symbolic and machine learning)
Demonstrated expertise in physics-based modeling and simulation, control, machine learning, and optimization (both traditional and AI-inspired), e.g. strong publication record
Demonstrated implementation skills, including expertise in Python and Matlab.
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
Familiarity with generative and combinatorial design
Knowledge of Modelica is a plus
Familiarity with functional languages is a plus.
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