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Distributed Control and Optimization

Palo Alto, CA | internships

Job Description

PhD candidate in electrical, aerospace, mechanical, math, applied math, CS

Uncertainty, degradation, and faults are common features of different types of systems including distributed systems; therefore risk management algorithms, diagnosis/prognosis techniques, and fault detection tools are inevitable part of distributed systems’ operations. Distributed control and optimization are also critical in these types of systems. On the other hand, modern infrastructure and the increase in internet of things provide access to useful data. We, at PARC, a Xerox company, are trying to integrate these domains and implement state of the art solutions for real-world problems.  

About the Job:

We are seeking a strong and self-motivated candidate with background in distributed systems and experience in the cross section of distributed/stochastic optimization and control, data mining, and machine learning. The real-world applications of interest include and not limited to energy, so experience in energy-related fields (smart grid, smart homes, power systems, efficiency, etc.) is a big plus.

The Intern will be able to participate in the daily activities of PARC's highly collaborative, multidisciplinary culture and have the opportunity to work with leading researchers, engage in different stages of the research or business-development pipeline, and receive authorship on publications and/or patents.

Responsibilities include:

  • Design, develop, and deliver innovative approaches, methods, and algorithms, as needed
  • Inventing and implementing different distributed control and optimization algorithms
  • Using data analysis techniques in formulizing problems and developing algorithms

Requirements:

  • PhD candidate in electrical, aerospace, mechanical, math, applied math, CS
  • Strong background in control, optimization, and distributed  systems is necessary
  • Candidates with data mining, machine learning, and data engineering  skills are considered more favorably
  • Demonstrated modeling and implementation skill
  • Experience in energy domain is a big plus

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 Xerox should contact PARC Human Resources.

As one of the most prolific innovation centers in the world, PARC offers an exceptional internship experience.  Considered valuable members of our community, interns are fully integrated into the daily activities of PARC's highly collaborative, multidisciplinary culture.

For more information on the PARC internship program visit http://www.parc.com/internship

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